Absolute gravimeters are instruments that realize reference measurements of the free-fall acceleration, at present by tracking the freely falling objects using interferometry. The functional model of measurements of absolute gravimeters contains parameters related to the model of the local gravity field as well as to the model of particular instrumental effects. In this paper, we show an improvement

Gas-sensor drift is an important issue fading the gas identification performance of an Electronic Nose (E-nose). The most popular drift countermeasure is mathematical-model updating by periodic drift calibrations. Accordingly, drift-calibration-sample formation becomes a challenging issue in online detection because of rare opportunity for collecting drift-calibration samples. However, the class-imbalance

Due to the harsh circumstances, planetary gearboxes as the important transmission component of mechanical equipment inevitably incur unexpected failures. Due to the merits of encoder signal, the research of encoder signal for fault detection have recently received much attention. However, the research on how to apply encoder signal to the fault detection of planetary gearbox under variation speed conditions

Three phase medium frequency direct current (DC) resistance spot welding (RSW) machine has a complex electrical structure. Because the structure included various electrical components, it is hard to establish an accurate and integrated numerical model to simulate the energy delivery and control process. This study employed a particle swarm optimization (PSO) algorithm to conduct an intelligent parameters

Magnetic scanning devices for structures, components, and materials have been the subject of intense scientific research and are potential prototypes for use in industry, especially in non-destructive inspection, to identify defects in metal structures subject to extreme conditions such as high temperatures, pressure, and strong tension. These conditions can lead to the failure of these structures

In the robot field, it has always been a hard issue of solving inverse kinematics (IK) problems of redundant robot. Although many researchers have come up with solutions for redundant robots with different configurations, there is still an issue of computational efficiency for redundant robot with complex configuration. In this paper, we proposed a novel optimization method which solves redundant robot

The multicriteria group decision-making method in fuzzy environment has become the focus of many scholars. The purpose of this paper is to extend the traditional ORESTE (organísation, rangement et Synthèse de données relarionnelles) method to solve the multi-criteria group decision-making problem under IT2FS environment. The main contributions of this paper are to define a new similarity measure and

Fault diagnosis of rotating machinery is essential for maintaining system performance and ensuring the operation safety. Deep learning (DL) has been recently developed rapidly and achieved remarkable results in fault diagnosis. However, the temporal information from time-series signals is ignored by convolutional neural networks (CNNs) based methods. Besides, the robustness against the noise is essential

The measurement accuracy of acoustic time difference directly affects the reliability of ultrasonic stress test results. The threshold method was proposed to be used for measuring acoustic time difference. The new method compares the time at the optimal threshold of two periodic signals with definite time-delay, the time interval at an optimal threshold is the acoustic time difference. The mathematical

In this paper results of calibration of Analog Devices AD5933 chip for damage detection problems based on electromechanical impedance (EMI) are presented. A simple calibration method using mid-frequency point and resistor with known resistance was utilised. Authors investigated the influence of calibration process on the measurement results and its agreement with professional measurement equipment

This paper describes the measurement methods of UV cross-linked hydroxyapatite-polymers composites particularly focused on the role of their composition on structure, mechanical properties, and biocompatibility. Morphology and elemental composition were investigated with SEM-EDS. The chemical structure was analysed with FT-IR spectroscopy. Stereometric and surface roughness parameters, stress and strain

Steel wire rope (SWR) defect signal processing techniques and methods are the key to exact defect detection and identification, which is important in guaranteeing human lives and property. But the inspection signals sensed by the commonly used inductive coil sensor are often susceptible to the detector’s scanning speed, wire rope shaking and vibration, whereas they are unaffected when induced by hall

Traditional monitoring methods are trained with normal data and map the process variables into latent variables directly. However, for these methods, the process variables would become intertwined in the latent variables, which results in that the fluctuations of process variables would be submerged in noise or neutralized in latent variables space. In order to address the submergence and neutralization

Automatic and accurate identification on the health condition of the diesel engine is a challenging task in the modern industry. In this paper, an innovative deep learning network structure called Random Convolutional Neural Network (RCNN) is designed for the intelligent health monitoring of diesel engines, taking full advantages of deep learning and ensemble learning. Firstly, this novel network framework

Exploration on emotions continues from past to present. Nowadays, with the rapid advancement of intelligent technology, computer-aided emotion recognition using physiological signals has attracted increasing academic interests. Notwithstanding so, the research progress of this issue seemed to meet a bottleneck in the last decade without any substantial breakthrough. It naturally motivates us to thoroughly

This article describes the dynamic calibration of a three component accelerometer balance for impulse forces applied in three perpendicular directions and prediction of these forces using a modified deconvolution and adaptive neuro-fuzzy inference system (ANFIS) technique. The accelerometer balance is housed inside a hemispherical model and a tri-axial accelerometer is mounted to measure the accelerations

The paper contains experimental data and analysis of the velocity distribution and pressure drop of turbulent flow through a fuel bundle of 19 rods as a partial model of the VVER-440 reactor core. Also, results from the code calculations at the outlet of the test assembly at different flow rates and comparison with experimental data are presented. A pitot tube was used to measure the velocity and pressure

Industrial vision highlights a growing trend in industrial systems. As camera sensors become smarter, the quality of data produced increases and it improves the accuracy results. One of the most decisive steps for getting accurate measurements is the calibration process. This paper aims to analyze the effect of four calibration parameters: camera focus, exposure time, calibration plate tilt and number

Fault diagnosis based on vibration signals in active magnetic bearing-rotor systems is an important research topic. However, it is difficult to obtain discriminative features to represent faults due to the nonlinear and non-stationary characteristics of the vibration signals and diverse sources of failures. Hence, this paper proposes a novel end-to-end learning mechanism of multi-sensor data fusion

Cyclostationary analysis is a useful approach in diagnostics of the machinery with rotating components. It allows indicating the cyclic modulations in the signal via analysis of a bi-frequency map called Cyclic Spectral Coherence (CSC). A non-zero CSC value at two frequencies means the presence of the cyclic process. Unfortunately, we have found that for some cyclostationary signals CSC provides difficult

The two-axis crosstalk of a gimbal-less Micro-Electro-Mechanical-system (MEMS) scanner was analyzed to estimate the mechanical crosstalk due to imperfect decoupling of hinged linkages and/or fabrication error. Two types of geometrical crosstalk, caused by rotational alignment angle and fan-shaped distortion, were theoretically derived, and total crosstalk was measured at two rotational alignment angles

Characterizing the loss factor of basic rock-forming minerals is fundamental in understanding the mineral-microwave interactions and predicting the possible weakening effect of microwave on rock. This paper proposed a novel method for deriving the loss factor of minerals based on the microwave heating rate tests, the electromagnetic numerical simulations and the effective medium theory. The heating

Several efforts have been made in finding alternate sources of energy. The production of bio-fuel from the extracts of plants like Jatropha Curcas L. and Pongamia Pinnata L. is most favored among all. But, due to certain biotic factors, the growth of these plants get affected, therefore reducing the overall production. To formulate the demand and automate the disease diagnosis system a Computer vision

Uniaxial compressive strength (UCS) is substantially used mechanical parameters to observe and classification of rocks, but this test is subsersive, taking a long time and required well equipped laboratory conditions and properly prepared samples. Therefore it is important to estimate this parameter from other physico-mechanical rock parameters that are nondestructive, easy to prepare samples and required

Fault diagnosis under varying speed conditions has become a research hotspot in rotating machinery monitoring. Due to the energy concentration property of linear frequency-modulated signals, fractional Fourier transform (FrFT) is helpful to bearing fault detection with varying speed. However, its performance depends on FrFT filter parameters, which are difficult to determine. So fractional frequency

Two different methods, absolute and relative positioning, are used in determining point positions with GNSS techniques. Precise Point Positioning (PPP) technique, which is one of the absolute positioning methods, is a powerful position determination method. In this study, the accuracy of PPP has been investigated in terms of session durations, online web services, satellite visibility and urbanization

Molecular tagging measurement technique is an advanced non-intrusive visualization approach which uses the molecules as the tagging and tracking materials. This technique has advantages in the measurement of complex flow fields such as the boundary layer flow, supersonic turbulence, micro-scale flow and combustion flow, and it owns superiorities in the simultaneous measurement of multi-parameters in

In advanced industrial fields such as chemical processes, faults must absolutely be detected; we cannot afford to operate with failing operative parts. It is therefore, necessary to take into consideration the uncertainties in order to establish a guaranteed failure detection. For this propose, several approaches have been introduced in the literature based on the Principal Components Analysis (PCA)

In this study, the impact of anatomical changes on radiation dose variations of the prostate and bladder (as an organ at risk) was assessed for a potential scenario of magnetic resonance imaging-guided carbon-ion radiotherapy (MRgCT) of prostate cancer. To achieve this goal, carbon-ion beams perpendicular to a pelvis phantom affected by 1.5 T perpendicular magnetic field were simulated using the FLUKA

Transfer learning has attracted great attention in intelligent fault diagnosis of bearings under different working conditions. However, existing studies have the following limitation. (1) The metric of feature distribution discrepancy between different working conditions is not sufficiently domain adaptive. (2) The decision boundaries among different classes are not sufficiently clear in the target

The vibration signals are usually assumed to be stationary for the sake of simplicity, but actually many signals are not definitely stationary, and ignoring the non-stationary characteristics of signals may affect the follow-up analysis directly. Therefore, proper evaluation of the non-stationarity of the analyzed signal is an inevitable and very important preprocessing procedure. In this paper, a

In real-world applications, fault detection and diagnosis of planetary gearboxes are vital if it can be employed to avert catastrophic failure consequences in rotating machinery. Fault diagnosis usually starts with collecting vibration signals from rotating machinery. These vibration signals are usually produced in non-stationary operating conditions with time-varying loads and speeds, which makes

A model has been developed and experimentally verified to determine the feasibility of ionizing a gas to measure barometric pressure. Alpha particles emitted from an americium 241 source ionize the gas. The number of ions created depends directly on the number of alpha particle-gas molecule interactions which is proportional to gas pressure. An electric field applied to the ionized gas causes current

This paper deals with the formulation of a new method of measuring machine tool stiffness. The method enables measurements to be made in generalized coordinates, i.e. measurements of translational and torsional stiffness. It is based on geometrical transformations of a rigid body. It is universal, because it allows any positioning of displacement sensors on the surface of the tested object and to freely

The modeling and optimization of resistance spot welded 5052 aluminum to Al-Si coated boron steel was quantitatively analyzed using response surface methodology and genetic algorithm. The significance and accuracy of the quadratic models was calculated by F tests, P tests, and R2 tests. The welding current is the most parameter in affecting shear strength whereas all the three parameters have a significant

The rapid development and extensive application of mobile mapping technologies have necessitated the increased accuracy of mobile mapping systems (MMSs) for application in various fields. In particular, the need for quick and convenient accuracy assessment of MMSs has attracted increasing research attention. Based on the positioning equation of MMSs and an analysis of the factors affecting their positioning

Non-contact measurement has shown great advantages in term of high efficiency measurement. In order to obtain the 3D point cloud efficiently, line structured light probe has been widely used in coordinate measurement machine, which is mounted on the end of the motion axis. However, the installation errors of the probe seriously affect the measurement accuracy. Hence, probe pose error compensation is

Fault diagnosis driven by the single signal has been widely used in motor fault diagnosis, but it can not meet the diagnostic requirements of complex motor system. In this study, a motor fault diagnosis method using attention mechanism and improved AdaBoost driven by multi-sensor information is proposed. Firstly, the corresponding frequency domain feature information is obtained by Hilbert transform

The new parameters for the parametric assessment of differentiating the features of surfaces formed in different machining processes was presented in the paper. Classification capacity indicators were analyzed and their interdependencies were presented proposing multi-criteria indicators. Eighty three parameters characterizing geometrical features were determined for 22 surfaces formed in various abrasive

The geometric tolerancing (GPS or GD&T) has increasing importance in machine design, manufacturing and measuring. The geometric tolerances define the deviation of the different kinds of geometric elements in more sophisticated way, than dimensional tolerances. Nevertheless, the application of them requires more wariness in design process, manufacturing process planning and measuring. The key element

Javelin throwing is very complicated. It is very important for athletes to master the javelin throwing technology. According to the investigation of athletes' ligament injuries, the preventive measures, treatment methods, rehabilitation methods and analysis were carried out by means of sports anatomy analysis. Through the analysis of Javelin throwers' injuries in sports, this paper uses the biomechanical

Pavement-surface characteristics should be considered during road maintenance for safe and comfortable driving. A detailed and up-to-date report of road-pavement network conditions is required to optimize a maintenance plan. However, manual road inspection methods, such as periodic visual surveys, are time-consuming and expensive. A common technology used to address this issue is SmartRoadSense, a

Carré algorithm is a classic phase shifting measurement method due to its advantage in resisting the error caused by inaccurate phase step. The conventional Carré algorithm only calculates the wrapped phase, so multiple frequencies are used to unwrap the phase so as to obtain the absolute phase, which increases the number of patterns and decreases the measuring speed. We propose a high-accuracy and

This experimental study reports the turbulent flow structure of the interaction of turbulent round jet issued into a counter turbulent flow for improved understanding of the turbulent mixing characteristics including pollutant dispersal at the estuarine region for tidal river flows. A high-frequency data acquisition system (Acoustic Doppler velocimeter) was employed to quantify the turbulent flow structures

This article presents an analysis of active electrode design for capacitively coupled measurement of bioelectrical signals. It deals with constructing an active electrode using a guard layer to decrease its input's parasitic capacitance. Three dielectric materials (cotton, polyester, wool) were examined under different pressure (1.23 kPa, 3.07 kPa) of the active electrodes. The Common Mode Rejection

The application of inflatable-packer testing is commonly used in all sorts of geotechnical investigations. During the test, a frequently ignored problem is the unforeseen occurrence of leakage around the packers, which leads to a high risk to wellbore failure as well as equipment stuck. For the conventional design, once one of the two packer subjects to leakage, the field test would have to be immediately

In the context of vibration based Structural Health Monitoring, using automated operational modal analysis, data synchronization methods permit a reduction in the cost of wireless monitoring systems, since the use of extra hardware for perfect data synchronization can be avoided. Furthermore, the relaxation of data synchronization requirements permits a more flexible topology (higher distance between

On-line measuring of ammonia nitrogen in seawater is essential to the intensive aquaculture process. Its concentration has an important effect on the growth and development of the breeding organisms. The popular Nessler's reagent method suffers from large time delays. It can only be applied off-line. To realize on-line measurement, we propose a hybrid soft measurement model for ammonia nitrogen. This

Wheelset bearing plays a fairly important role in maintaining the safe and stable operation of high-speed trains. Thus, its fault detection is of great significance. Conventional boundary determination methods cannot assess fault information capacity contained in a decomposed band and thus provide a higher number of false boundaries than actually needed. A time-delayed kurtosis-based (TDK) adaptive

In recent years, data-driven approaches for remaining useful life (RUL) prognostics have aroused widespread concern. Bearings act as the fundamental component of machinery and their conditioning status is closely associated with the normal operation of equipment. Hence, it is crucial to accurately predict the remaining useful life of bearings. This paper explores the degradation process of bearings

Assembling of multi-setup measurements emerges as a challenging problem in the structural health monitoring applications and may cause some important issues in the estimation of global modal parameters such as frequency, damping ratio and modal shape vector. To overcome this problem, a novel frequency domain pre-identification data merging method is proposed in this study. In the proposed methodology