
显示样式: 排序: IF: - GO 导出
-
Calibration of Electrical Instruments Under Nonsinusoidal Conditions at NRC Canada IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-25 Branislav Djokić; Harold Parks
The paper describes the recent development of a system for calibration of electrical instruments with harmonics measurement capability, such as revenue meters and power analyzers, under nonsinusoidal test conditions at National Research Council (NRC) Canada. The improvements implemented with respect to an earlier NRC calibration system are aimed at increasing the calibration accuracy in a wider frequency
-
A Novel Passive Interface Circuit With Gain for Nongenerating Sensors in Differential or Bridge Configuration IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2021-01-08 Darko Vyroubal
A novel passive interface circuit with gain for nongenerating (active, i.e., excited/driven) sensors in differential or bridge configuration is presented. The circuit is very simple and consists of only one transformer in the output diagonal of the equivalent bridge configuration comprised of sensor(s), bridge completion impedances, and excitation source. It can be used with resistive, capacitive,
-
Characterization and Architecture of Monolithic N⁺P-CMOS-SiPM Array for ToF Measurements IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-16 A. Eshkoli; Y. Nemirovsky
This article focuses on the characterization and architecture of a new mixed design approach to monolithic CMOS-silicon-photomultiplier (SiPM), where the mixed-signal circuitry as well as the logical concepts are implemented at the die level. The new architecture contains two key areas: 1) a method for sampling, filtering, and converting the electrical signal generated by the SiPM to the digital domain
-
Domain Adaptation in Intelligent Ultrasonic Logging Tool: From Microseismic to Pulse-Echo IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2021-01-08 Xuyang Gao; Yibing Shi; Qi Zhu; Zhipeng Li; Hu Sun; Zhenqiu Yao; Wei Zhang
With high temporal resolution demand under noise contamination, the travel time estimation for the pulse-echo is noticed in the acoustic logging instrument design. To this end, an intelligent ultrasonic logging system is built to collect borehole information, and a framework with domain adaptation theory is proposed. The modified maximum mean discrepancy minimization combined with spatial pyramid pooling
-
Electromagnetic Induction Imaging at Multiple Depths With a Single Coil IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2021-01-11 Mahindra Ganesh; Maryam Ravan; Reza K. Amineh
Electromagnetic induction imaging (EII) is an attractive imaging modality due to its contactless operation, low cost, and good penetration depth. To implement real-time imaging, in applications such as object tracking or functional biomedical imaging, fast data acquisition is required. To proceed toward this goal, in this article, we propose the use of a single coil for 3-D EII along with a fast inversion
-
Multifrequency Ultrasonic Tomography for Oil–Gas–Water Three-Phase Distribution Imaging Using Transmissive Attenuation Spectrum IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2021-01-12 Hao Liu; Feng Dong; Chao Tan
Industrial process tomography (PT) possesses unique advantages in multiphase distribution imaging. Oil–gas–water three-phase distribution has coexisting high-impedance contrast and low-impedance contrast medium, possessing a challenge to traditional PT sensing technique. An original concept of multifrequency ultrasonic tomography (MFUT) is proposed, which reconstructs oil–gas–water three-phase distribution
-
Integration of a Testbench for the Optical and Thermal Characterization of Near-Infrared Detectors Used in Ground and Space-Based Astronomy IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-24 Jorge Jiménez; Antoni Grau; Cristobal Padilla
The mercury–cadmium–tellurium (MCT) sensors are considered the ideal infrared detectors to equip the focal plane arrays (FPAs) of astronomical scientific missions. To tackle Europe to be self-sufficient on this technology and promote to reach the same maturity level attained by the current MCT sensors market leaders, the Astronomy European Infrared Detector (ASTEROID) project aims to provide Europe
-
SPS-Net: Self-Attention Photometric Stereo Network IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-29 Huiyu Liu; Yunhui Yan; Kechen Song; Han Yu
The input data of photometric stereo have three dimensions: one photometric dimension of different lights and two spatial dimensions, i.e., rows and columns in the image coordinate. Recent deep-learning-based photometric stereo algorithms usually use 2-D/3-D convolutions to process the input with three dimensions. Assumptions that violate the natural characters of photometric stereo problem, e.g.,
-
Decimeter Level Indoor Localization Using Hybrid Measurements of a Distributed Single Receiver IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2021-01-08 Ze Li; Zengshan Tian; Mu Zhou
Recently, indoor localization using a single receiver has received significant attention. Despite the improvement of this, developing an accurate and universal system is still heavily required. In this article, we design and implement BiLoc, a decimeter level indoor localization system with hybrid measurements of a distributed single receiver. Specifically, different from the existing single receiver-based
-
Fault Diagnosis of Wind Turbine Gearbox Using a Novel Method of Fast Deep Graph Convolutional Networks IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2021-01-04 Xiaoxia Yu; Baoping Tang; Kai Zhang
The fault diagnosis of the gearbox of wind turbines is a crucial task for wind turbine operation and maintenance. Although a convolutional neural network can extract the related information of adjacent sampling points using kernels, traditional deep learning methods have not leveraged related information from points with a large span of vibration signal data. In this article, a novel fast deep graph
-
An Improved Real-Time Slip Model Identification Method for Autonomous Tracked Vehicles Using Forward Trajectory Prediction Compensation IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2021-01-06 Zhaobo Qin; Liang Chen; Jingjing Fan; Biao Xu; Manjiang Hu; Xin Chen
The complex slip characteristics between the tracks and the terrain make it difficult to build an accurate model for intelligent tracked vehicles. Both the path planning and lateral control, however, are highly dependent on the accurate tracked vehicle model. To overcome the issue, a slip model based on the instantaneous centers of rotation (ICRs) of tracks and a dual-layer adaptive unscented Kalman
-
Research on Nonlinearity in In situ Calibration of Permanent Magnet Sodium Flowmeter Without Bluff Body IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2021-01-08 Xin-Long Yu; Ke-Jun Xu; Wen-Kai Wu; Ya Huang
The permanent magnet sodium flowmeter (PMSF) without the bluff body installed on the large-diameter pipe in the fast reactors to measure the sodium coolant flow rate has to be calibrated in situ owing to the degradation of the magnetic field. Since the length of the magnetic field of the PMSF is limited in practical engineering applications, the characteristic between the cross correlation flow rate
-
A Mechatronic Lock-In Amplifier: Integrating Demodulation in Sensor Electronics for Measuring Mechanical Oscillations IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-24 Mathias Poik; Dominik Kohl; Mario Mayr; Christoph Kerschner; Georg Schitter
The demodulation of mechanical oscillations is essential for the operation of micro- and nanometer-scale transducer systems, such as resonant MEMS mirrors and cantilever-based sensors. The use of external demodulators, such as lock-in amplifiers and spectrum analyzers is not always desired due to their large size, complexity, and cost. The method presented in this article enables simplified demodulation
-
Repeatable Phase Spectrum Measurements of 75–110-GHz Modulated Signals Using a VNA-Based LO Phase Cancellation Technique IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2021-01-06 Yichi Zhang; Meining Nie; Zilong Zhang; Zhao He; Lifeng Wang
In this article, we present a vector network analyzer (VNA)-based measurement scheme and setup to obtain repeatable phase spectrum measurements of 75–110-GHz modulated radio frequency (RF) signals. In order to remove the random phase contribution of sweeping local oscillator (LO) in harmonic downconversion, the LO signal is coupled out into an auxiliary measurement channel where its random phase at
-
Fast and Robust Position and Attitude Estimation Method Based on MARG Sensors IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2021-01-08 Gongxu Liu; Baoguo Yu; Lingfeng Shi; Ruicai Jia
With the development of Internet of Things (IoT), people’s demand for location-based services is increasingly urgent. Based on magnetometer, accelerometer, and rate gyro, i.e., MARG sensors, the position and attitude estimation methods such as complementary filter (CF), Kalman filter (KF), and their various modifications have been the research hot spot. However, the CF-based methods are empirical and
-
Ka-band Electric-Field Probe Calibration System With Rotating and Linear Motion IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2021-01-01 Young-Pyo Hong; Jeong-Il Park; Tae-Weon Kang; Joo-Gwang Lee; No-Weon Kang
This article presents a standard field generation system with an antenna for the calibration of a Ka-band electric-field probe. We constructed a measurement system having capability of not only rotating the azimuth angle of the probe but also changing the separation distance between the antenna and the probe. As a result, the orientation and separation distance of the probe can be suggested for minimal
-
Geometry-Based Reconstruction Method for Profile Analysis of Measurement Data IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2021-01-06 Tianqi Gu; Chenjie Hu; Tong Guo; Tianzhi Luo
In the field of practical engineering, the moving least-squares (MLS) and moving total least-squares (MTLS) methods are widely used to approximate the measurement data. However, the fitting accuracy and robustness are affected inevitably by random errors and outliers, which results in distorted estimation. To solve this problem, we present an improved MTLS (IMTLS) method, in which a newly constructed
-
Quality of Measurement Information in Decision-Making IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-29 Dario Petri; Paolo Carbone; Luca Mari
This article introduces a general-purpose framework aimed at capturing the elusive concept of quality of measurement information (MI), a critical issue for both researchers and practitioners when dealing with MI-enabled decision-making. The framework is a blueprint for the definition, assessment, communication, and improvement of MI quality, as analyzed through a set of general criteria, classified
-
Evaluation of a Josephson Arbitrary Waveform Synthesizer at Low Voltages for the Calibration of Lock-In Amplifiers IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2021-01-04 Dimitrios Georgakopoulos; Ilya F. Budovsky; Samuel P. Benz
We have evaluated a Josephson arbitrary waveform synthesizer (JAWS) in the voltage range from $1~\mu \text{V}$ to 1 mV at frequencies from 60 to 1000 Hz for the use in the calibration of lock-in amplifiers. The uncertainty contribution from the JAWS system is 45 nV for 1 mV at 1000 Hz and $k=2.0$ . We anticipate that the JAWS will help extend the lower voltage and frequency range of ac voltage metrology
-
Electricity Theft Detection Base on Extreme Gradient Boosting in AMI IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2021-01-01 Zhongzong Yan; He Wen
Metering data from the advanced metering infrastructure can be used to find abnormal electricity behavior for the detection of electricity theft, which causes huge financial losses to electric companies every year. This article proposes an electricity theft detector using metering data based on extreme gradient boosting (XGBoost). The metering data are preprocessed, including recover missing and erroneous
-
A New Acoustic Emission-Based Approach for Supply Disturbances Evaluation in Three-Phase Induction Motors IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-25 Guilherme Beraldi Lucas; Bruno Albuquerque de Castro; Marco Aurélio Rocha; André Luiz Andreoli
The interruption of a three-phase induction motor (TIM) on production lines represents a high financial and operational cost. However, these machines are often exposed to mechanical and electrical failures that can cause unexpected stoppages. Among these failures, the voltage unbalance (VU) is a supply fault that can lead to winding wear, torque losses, overheating, and other side effects. In this
-
Fault Diagnosis of Conventional Circuit Breaker Contact System Based on Time–Frequency Analysis and Improved AlexNet IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-21 Shuguang Sun; Tingting Zhang; Qin Li; Jingqin Wang; Wei Zhang; Zhitao Wen; Yao Tang
In order to eliminate the influence of parameter predefined caused by manual feature extraction, achieve fast feature extraction, and improve the recognition rate of fault diagnosis, a 2-D convolution neural network (CNN) method for fault diagnosis of conventional circuit breaker contact system is proposed. First, by introducing the data preprocessing method of continuous wavelet transform (CWT), the
-
A Smart Ink Pen for the Ecological Assessment of Age-Related Changes in Writing and Tremor Features IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-30 Francesca Lunardini; Davide Di Febbo; Milad Malavolti; Manuel Cid; Matteo Serra; Luca Piccini; Alessandra Laura Giulia Pedrocchi; N. Alberto Borghese; Simona Ferrante
We present the development of a novel smart ink pen instrumented with force and motion sensors designed for the quantitative and ecological assessment of daily-life handwriting. This work aims at testing the pen’s sensors and algorithms and the use of the smartpen to detect age-related changes in writing and tremor parameters during daily-life handwriting. A comparison against reference instruments
-
Location of the Leakage From a Simulated Water-Cooling Wall Tube Based on Acoustic Method and an Artificial Neural Network IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2021-01-04 Qian Kong; Genshan Jiang; Yuechao Liu; Jianhao Sun
Water-cooling wall tube leakage accident is an important factor affecting the safe and economic operation of power station boilers. In this article, the acoustic method is applied to locate the leakage from a simulated water-cooling wall tube, and several key technologies are studied in order to identify the precise location of leakage source. Sound wave propagation path in ‘nonuniform temperature
-
Pedestrian Travel Distance Estimation Using Optical Flow and Smartphone Sensors IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2021-01-05 Jongtaek Oh; Joil Han
The extensive proliferation of smartphones presents a new opportunity for precise indoor and outdoor location-based services. Although various smartphone-based positioning technologies have been investigated, no practical and economical method has been developed where global positioning system (GPS) cannot be applied. Since it is difficult to estimate travel distance accurately with a low-cost inertial
-
Multipath Fusion Mask R-CNN With Double Attention and Its Application Into Gear Pitting Detection IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2021-01-05 Dejun Xi; Yi Qin; Jun Luo; Huayan Pu; Zhiwen Wang
Since the traditional gear pitting detection technique based on artificial observation has low accuracy and efficiency, an accurate vision detection method based on a new development of Mask R-CNN is explored. In order to solve the issue of small pitting samples, the generated adversarial network is firstly employed to enlarge the training samples with multilevel pitting. Then, we put forward a multipath
-
Evaluating Smartphone Accuracy for RSSI Measurements IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2021-01-05 Yanis Boussad; Mohamed Naoufal Mahfoudi; Arnaud Legout; Leonardo Lizzi; Fabien Ferrero; Walid Dabbous
Smartphones are affordable devices nowadays, capable of embedding a large variety of sensors such as magnetometers or orientation sensors, but also the hardware needed to connect them to most wireless communication technologies such as Wi-Fi, Bluetooth, or cellular networks. Therefore, they are handy devices able to perform received signal strength indicator (RSSI) measurements for a wide variety of
-
Integration of Multiple Sensors for Noncontact Rail Profile Measurement and Inspection IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2021-01-08 Jiaqi Ye; Edward Stewart; Dingcheng Zhang; Qianyu Chen; Karthik Thangaraj; Clive Roberts
Rail profile measurement is one of the most critical tasks for track quality inspection to ensure the safe operation of track systems. In modern railway systems, laser triangulation sensors have been widely adopted in onboard measuring units to carry out 2-D rail profile measurement due to their robustness and truly noncontact properties. However, existing solutions limit the degrees of freedom of
-
Subcentimeter Precision Ranging System for Moving Targets With a Doppler-Effect- Compensated Ultrasonic Direct Sequence Spread Spectrum IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-29 ISHII Toru; Yukiko Yoshikawa; Shintaro Izumi; Hiroshi Kawaguchi
In this article, we present a Doppler-effect-compensated ranging system that can be applied to subcentimeter-precision ultrasonic distance measurement for moving targets using a direct sequence spread spectrum (DSSS). First, the theory of the Doppler compensation technique is explained, and then, the evaluation results obtained using maximum-length-sequence coded ultrasonic signals are discussed. In
-
Robust Intrusion Events Recognition Methodology for Distributed Optical Fiber Sensing Perimeter Security System IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-31 Chengang Lyu; Ziqiang Huo; Yage Liu; Xin Cheng; Jianying Jiang; Alimina Alimasi; Jiachen Yang; Hansong Su
Accurately detecting man-made intrusion from different events is of great significance for distributed optical fiber sensing perimeter security system. Most traditional algorithms lack the ability to reject various events of unknown class which are mainly from natural disturbance, and greatly decline the accuracy of intrusion recognition in field application. In order to solve this problem, we proposed
-
Long-Term Stability Test on On-Wafer Measurement System in Frequency Ranges up to 325 GHz IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-28 Ryo Sakamaki; Masahiro Horibe
This article reports the investigation results of long-term stability tests on on-wafer measurement systems in frequency ranges up to 325 GHz conducted by the NMIJ-AIST. The radio frequency (RF) probe coordinates in the $X$ -, $Y$ -, and $Z$ -directions, and the tilt angle is automatically adjusted by performing RF signal detection. Calibrations and verification processes were repeated for over a year
-
Modeling of a Resistive Voltage Divider by Rational Functions: Uncertainty Evaluation IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-29 Leonardo A. A. de Souza; Marcus V. V. Pinto; Marcelo B. Martins; Antonio C. S. Lima
This article describes the modeling of a resistive voltage divider (RVD) by rational functions using the vector fitting (VF) tool. The method is applied to ratio and phase displacement measurements over a wide frequency range. A Monte Carlo simulation-based sensitivity analysis was carried out to properly estimate the model uncertainty. The modeling tool proved to be an advantageous alternative with
-
A Fast and Robust Localization Method for Low-Frequency Acoustic Source: Variational Bayesian Inference Based on Nonsynchronous Array Measurements IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-25 Ning Chu; Yue Ning; Liang Yu; Qian Huang; Dazhuan Wu
This article proposes a variational Bayesian (VB) inference based on the nonsynchronous array measurement (NAM) (VB-NAM) method in order to obtain the fast and robust localization of low-frequency acoustic sources. To enlarge the aperture size compared with the prototype array, the NAM is performed to measure the acoustic pressures with low-frequency based on the forward power propagation model. The
-
Linking Attention-Based Multiscale CNN With Dynamical GCN for Driving Fatigue Detection IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-25 Hongtao Wang; Linfeng Xu; Anastasios Bezerianos; Chuangquan Chen; Zhiguo Zhang
Electroencephalography (EEG) signals have been proven to be one of the most predictive and reliable indicators for estimating driving fatigue state. However, how to make full use of EEG data for driving fatigue detection remains a challenge. Many existing methods include a time-consuming manual process or tedious parameter tunings for feature extraction, which is inconvenient to train and implement
-
A Distributed Phase Measurement Method of Frequency-Domain Electromagnetic Detection IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-24 Shengbao Yu; Jialin Zhang; Yiming Wei; Yihan Shen; Shilong Wang
A distributed phase measurement method of frequency-domain electromagnetic detection is proposed. The theoretical analysis of the previous literature shows that in electromagnetic detection applications, phase as an independent measurement parameter can reduce the diversity of solution, and it also has the advantage of greater steepness than the amplitude. Currently, there are few literature dealing
-
A Current Signal-Based Adaptive Semisupervised Framework for Bearing Faults Diagnosis in Drivetrains IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-28 Jie Li; Yu Wang; Yanyang Zi; Xiaojie Sun; Ying Yang
In most practical applications of fault diagnosis methods, two problems will inevitably arise. First, limited by the monitored object itself and its environment, accelerators are difficult to install. Second, industrial applications lack data with fault labels, which limits the use of data-driven-based methods. To solve these problems, a current signal-based adaptive semisupervised framework (C-ASSF)
-
Minimum Distance-Based Detection of Incipient Induction Motor Faults Using Rayleigh Quotient Spectrum of Conditioned Vibration Signal IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2021-01-01 Anik Kumar Samanta; Aurobinda Routray; Swanand R. Khare; Arunava Naha
In this article, we propose a single-vibration sensor-based method for detecting incipient faults in squirrel cage induction motors (SCIMs). We consider defects in different parts of the bearing (inner raceway, outer raceway, cage train, and rolling element) and in a single bar of the rotor. The vibration signal is dominated by the fundamental rotational frequency and its harmonics. The dominant components
-
A Low-Cost Implementation of Sample Entropy in Wearable Embedded Systems: An Example of Online Analysis for Sleep EEG IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2021-01-04 Yung-Hung Wang; I-Yu Chen; Herming Chiueh; Sheng-Fu Liang
Sample entropy (SpEn) is a measure of the underlying regularity or complexity of a system that is achieved by assessing the entropy of a time series recorded from the system. It is a powerful signal processing tool and has received increasing attention in recent years. SpEn has been successfully applied in biomedical measurements and other applications. In particular, many emerging applications require
-
A Locomotion Mode Adaptive Strategy for Real-Time Detection of Gait Events During Negotiating Staircases IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-25 Saikat Sahoo; Dilip Kumar Pratihar; Sudipta Mukhopadhyay
The joint kinematics for negotiating different locomotion modes (LMs), mainly level-ground walking (LGW) and ascending and descending staircases, are significantly different. Therefore, an algorithm that could detect gait events during the LGW would not be efficient during the stair ascent (SA) and stair descent (SD) even though the one designed for SA would not be suitable for SD, and vice versa.
-
Efficient and Flexible Sensitivity Matrix Computation for Adaptive Electrical Capacitance Volume Tomography IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-25 Daniel Ospina Acero; Shah M. Chowdhury; Qussai M. Marashdeh; Fernando L. Teixeira
Electrical capacitance tomography is a widely used sensor modality for flow imaging in many industrial settings. Adaptive electrical capacitance volume tomography (AECVT) extends the capabilities of traditional ECT by enabling direct volumetric imaging and an improved resolution. Construction of the sensitivity matrix is a necessary step to obtain flow images. This step requires the computation of
-
Fabric Defect Segmentation Method Based on Deep Learning IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2021-01-04 Yanqing Huang; Junfeng Jing; Zhen Wang
Fabric defect detection plays an essential role in the textile production process, which was widely applied in the textile industry. For fabric defect detection, many algorithms have been proposed. However, lots of important problems, such as the accuracy of detection, the computational complexity of the algorithm, and data imbalance, still needed to be addressed for application in industrial production
-
An Algorithm for Automated Feature Detection of Eddy Current Defects Using Sum of Gaussian Method IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2021-01-05 James W. Earnest
This article describes an algorithm used to automatically detect differential coil eddy current (EC) defect signal features using a sum of Gaussians approach. Defect signals are decomposed into positive and negative portions then a thresholded binary image is constructed using the Parzen–Rosenblatt window technique. Mathematical morphology operators are then used to denoise the thresholded binary image
-
Extraction of Stable Complex Permittivity and Permeability of Low-Loss Materials From Transmission/Reflection Measurements IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-25 Chuang Yang; Hui Huang
In this article, a technique based on artificial neural networks (ANNs) is proposed to extract stable complex permittivity and permeability of low-loss materials from transmission/reflection (T/R) measurements. The equations of attenuation constant $\alpha $ and phase constant $\beta $ of $a$ sample-filled transmission line are derived. The calculated $\alpha $ and $\beta $ are put into an ANN model
-
A Measurement System for the Characterization of Wireless Charging Stations for Electric Vehicles IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-23 Mauro Zucca; Paolo Squillari; Umberto Pogliano
This article describes a new traceable measurement system, designed for the characterization of inductive charging stations for electric vehicles. This article particularly focuses on static charging (stationary vehicle), while dynamic charging (charging while driving) requires a significantly different system. The measurement system is able to measure on-site performance and efficiency of the charging
-
A Ferromagnetic Wear Particle Sensor Based on a Rotational Symmetry High-Gradient Magnetostatic Field IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-24 Song Feng; Leilei Yang; Bin Fan; Rui Li; Jiufei Luo; Junhong Mao
To improve the wear monitoring accuracy of steel tribo-pairs, a ferromagnetic particle sensor that consists of a magnetic loop with two cylindrical magnetic poles and one magnetic housing is proposed. The induction coil is placed inside the magnetic poles to shield against external electromagnetic interference. The air gap is designed to 1 mm between the two magnetic poles, where a rotational symmetric
-
Development of a MnO₂-Modified Screen-Printed Electrode for Phenol Monitoring IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-18 Roberto Di Chio; Francesco Arena; Salvatore Gianluca Leonardi; Kaveh Moulaee; Giovanni Neri; Nicola Donato
In this article, the electrochemical monitoring of phenol (Ph) in water by using a nanostructured MnO 2 -modified screen-printed carbon electrode (MnO 2 -SPCE) is reported. MnO 2 nanoparticles were synthesized by the redox-precipitation method. Morphological, textural, and microstructural characteristics were investigated by scanning electron microscopy (SEM), X-ray diffraction, Raman, Brunauer–Emmett–Teller
-
Structure-Aware Compressive Sensing for Magnetic Flux Leakage Detectors: Theory and Experimental Validation IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-25 Hamid Esmaeili Najafabadi; Henry Leung; Jingbo Guo; Tiehua Hu; Guang Chang; Wenshen Gao
Compressive sensing (CS) has emerged as a promising technique for collecting and reconstructing digital signals. In this article, we design a CS method for magnetic flux leakage (MFL) detectors based on the problem’s physics. A method is presented to reconstruct $x$ and $y$ components of magnetic $\overrightarrow {B}$ field using a few samples. First, the problem is formulated into an optimization
-
Resonance at the Front of Lightning Impulse Voltage Waveforms Caused by the Load Capacitor IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-16 Wei Zhao; Haiming Shao; Jiandong Ding; Chuansheng Li; Jiafu Wang
During the impulse voltage comparison test, it is important to keep the waveforms smooth for obtaining consistent experiment results, especially for the front time parameter. However, steps or oscillations are often found on the front of the waveforms. The authors propose a theory that these oscillations can be caused by the resistors in the damped capacitive voltage divider, which often serves as
-
An Optimized Vibration Correction Method for Absolute Gravimetry IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-21 Yi Wen; Kang Wu; Meiying Guo; Lijun Wang
Accurate observations of the gravitational acceleration ( $g$ , about 9.8 m/s 2 ) provide important geophysical data for use in geophysics, metrology, and geodesy. At present, the most widely used absolute gravimeter determines the value of $g$ by tracking a falling retroreflector in a vacuum using a laser interferometer. The precision and accuracy of the measurement are mainly affected by ground vibration
-
High-Precision Self-Calibrating Current Transformer With Stray Capacitances Control IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-18 Daniel Slomovitz; Alejandro Santos; Rogelio Sandler; Gabriela Barreto
This article shows the design of a simple construction two-stage current transformer with ratios from 5 A:5 A to 2000 A:5 A. It can be self-calibrated. Primary windings are separated into sectors to allow series–parallel configurations. Beginning with 5 A:5 A-ratio self-calibration, the higher ranges relate their errors to this first one, considering parasitic effects. Stray capacitances are considered
-
A Simple Thermoelectric Effect Setup for Determining the Conductivity Type of Thin Film Materials IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-23 Chun Sum Brian Pang; Wessley Ng; Jing Liang; Qing Qu; Ho Tin Martin Chau; Muyao Niu; Man Kit Cheng; Iam Keong Sou
In this article, we present a simple and low-cost experimental setup for thermoelectric effect measurements of thin film materials near room temperature, which can be used to determine their conductivity types. Bi 2 Te 3 and Sb 2 Te 3 thin films grown by the molecular beam epitaxy technique were used as the tested samples. Their Seebeck coefficients were determined to be $(-141\pm 1)\,{\mathrm{\mu
-
ASIC Implementation of Low PAPR Multidevice Variable-Rate Architecture for IEEE 802.11ah IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-18 Rakesh Palisetty; Amit Kumar Panda; Kailash Chandra Ray
The advancement of next-generation systems has led to a rapid increase in day-to-day applications by connecting billions of devices. Mobile networks require a considerable cost to support these billions of devices, and conventional IEEE 802.11 is meant for the usage of small-scale applications. To support long-range applications, IEEE task group-ah has proposed a new standard named IEEE 802.11ah. However
-
Integration of Results From Convolutional Neural Network in a Support Vector Machine for the Detection of Atrial Fibrillation IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-24 Caiyun Ma; Shoushui Wei; Tongshuai Chen; Jingquan Zhong; Zhenhua Liu; Chengyu Liu
Atrial fibrillation (AF) can cause a variety of heart diseases and its detection is insufficient in outside hospital. We proposed three methods for AF diagnosis in ambulatory settings. The first method is a convolutional neural network (CNN) trained on modified frequency slice wavelet transform (MFSWT) data. The second is a support vector machine (SVM) classifier trained on multiple AF features data
-
High-Precision Detection Method for Structure Parameters of Catenary Cantilever Devices Using 3-D Point Cloud Data IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-18 Wenqiang Liu; Zhigang Liu; Qiao Li; Zhiwei Han; Alfredo Núñez
This article proposes an automatic high-precision detection method for structure parameters of catenary cantilever devices (SPCCDs) using 3-D point cloud data. The steps of the proposed detection method are: 1) segmenting and recognizing the components of the catenary cantilever devices, 2) extracting the detection plane and backbone component axis of catenary cantilever devices, and 3) detecting the
-
Wind Turbine Gearbox Failure Detection Based on SCADA Data: A Deep Learning-Based Approach IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-18 Luoxiao Yang; Zijun Zhang
Gearbox failure is one of top-ranked factors leading to the unavailability of wind turbines (WTs). Existing data-driven studies of gearbox failure detection (GFD) focus on improving detection accuracies while reducing false alarms has not received sufficient discussions. In this article, we propose a deep joint variational autoencoder (JVAE)-based monitoring method using wind farm supervisory control
-
Rolling Bearing Fault Diagnosis With Adaptive Harmonic Kurtosis and Improved Bat Algorithm IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-23 Yi Qin; Lei Jin; Aibing Zhang; Biao He
The key of bearing fault feature extraction is to select the optimal resonant frequency band (ORFB) containing fault information with an appropriate index. However, the background noise and cyclostationary impulsive noise will seriously affect the location of ORFB. Moreover, traditional indexes may be ineffective for compound faults. Thus, a novel fault feature method for rolling bearings is explored
-
A High-Precision Diagnosis Method for Damp Status of OIP Bushing IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-24 Lijun Zhou; Wei Liao; Dongyang Wang; Dong Wang; Guinan Zhang; Yi Cui; Junyi Cai
An accurate assessment of the damp status of oil-impregnated paper (OIP) bushings is crucial for the power industry to make informed decisions on the maintenance and replacement schedule of bushings. This article proposes a hybrid of the convolutional neural network (CNN) and the hidden Markov model (HMM) for estimating the damp status (i.e., moisture level and moisture source) of bushings especially
-
Negative Impedance Capacitive Electrode for ECG Sensing Through Fabric Layer IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-16 Ting-Wei Wang; Shien-Fong Lin
Many applications utilize flexible capacitive electrode implementations and analog front-end optimizations for improving noncontact electrocardiogram (ECG) measurements. However, the influence of the negative impedance in the circuit front end on noncontact measurements has not been investigated. The objective of this study was to develop negative impedance capacitive electrodes for improving the degraded
-
Multiple Measurement Vector-Based Complex-Valued Multifrequency ECT IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-18 Maomao Zhang; Liying Zhu; Haokun Wang; Yi Li; Manuchehr Soleimani; Yunjie Yang
Complex-valued, multifrequency electrical capacitance tomography (CVMF-ECT) is a recently developed tomographic concept which is capable of simultaneously reconstructing spectral permittivity and conductivity properties of target objects within the region of interest. To date, this concept has been limited to simulation and another key issue restricting its wide adoption lies in its poor image quality
-
Multimodal Medical Image Fusion Based on Weighted Local Energy Matching Measurement and Improved Spatial Frequency IEEE Trans. Instrum. Meas. (IF 3.658) Pub Date : 2020-12-23 Yong Yang; Sihua Cao; Shuying Huang; Weiguo Wan
Multimodal medical image fusion (MMIF) technology can effectively improve the efficiency and accuracy of doctors in clinical diagnosis and treatment by combining different modes of medical images into a medical image with rich information. To achieve an optimal balance between computational loss and fusion quality, this article presents a new MMIF method based on weighted local energy matching measurement