Purpose

This paper aims to develop a comprehensive model of a magnetic sensor array that will be operational for a multitude of electric components in continuous and nonintrusive condition monitoring (CM) or in readiness assessment (RA) applications.

Design/methodology/approach

A universal nonintrusive model of a flexible antenna array is introduced to monitor and identify failures in electric machine drives. An adjustable sensor is designed to serve as a RA for a vast range of electrical elements in a typical power system by capturing the low-frequency radiated magnetic fields.

Findings

The optimal placement of the most sensitive radiated fields from several components has been discovered in this case study, enabling the detection of healthy current flow throughout. Thereafter, the short-circuit investigation, representing faulty situations, is implemented and compared with healthy cases.

Practical implications

This sensing technique can be used for nonintrusive CM of components that are out of reach and cannot have the sensor to be held around it such as components in offshore winds, wind energy generation and power and chemical plants.

Originality/value

The results are provided for three commonly used machines with a single sensor array with numerous settings. The three dimensional (3 D) finite element analysis is applied in the structuring of the sensor, detection of the optimum location and recognition of faults in the machines. Finally, based on the setup design, 3 D printing is used for the construction of the sensor array. Thus, the sensor array with fault detection avoids major component failures and increases system reliability/resiliency.

中文翻译：

---

3D打印传感器的全面设计分析，用于准备情况评估应用

目的

本文旨在开发一种全面的磁传感器阵列模型，该模型可用于连续和非侵入式状态监测（CM）或就绪评估（RA）应用中的多种电气组件。

设计/方法/方法

引入了柔性天线阵列的通用非侵入式模型，以监视和识别电机驱动器中的故障。通过捕获低频辐射磁场，可调节传感器被设计为用作典型电力系统中各种电气元件的RA。

发现

在此案例研究中，发现了来自多个组件的最敏感辐射场的最佳位置，从而可以检测整个过程中的健康电流。此后，进行代表故障情况的短路调查，并将其与正常情况进行比较。

实际影响

这种感测技术可用于不可触及的不可触及组件的CM，并且无法将传感器固定在其周围，例如海上风电，风能发电以及发电厂和化工厂中的组件。

创意/价值

为三台常用机器提供了结果，这些机器带有一个具有多种设置的单个传感器阵列。三维（3D）有限元分析应用于传感器的结构，最佳位置的检测和机器故障的识别。最后，基于设置设计，将3D打印用于传感器阵列的构造。因此，具有故障检测功能的传感器阵列避免了主要组件的故障，并提高了系统的可靠性/弹性。