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：

---

用于准备状态评估应用的 3D 打印传感器的综合设计分析

目的

本文旨在开发一个磁传感器阵列的综合模型，该模型将适用于连续和非侵入式状态监测 (CM) 或就绪评估 (RA) 应用中的大量电子元件。

设计/方法/方法

引入了一种通用非侵入式柔性天线阵列模型来监控和识别电机驱动器中的故障。可调传感器旨在通过捕获低频辐射磁场，作为典型电力系统中各种电气元件的 RA。

发现

在这个案例研究中发现了来自多个组件的最敏感辐射场的最佳放置，从而能够检测到整个健康的电流。此后，执行代表故障情况的短路调查并与健康情况进行比较。

实际意义

这种传感技术可用于无法触及且无法将传感器固定在其周围的组件的非侵入式 CM，例如海上风能、风力发电以及发电厂和化工厂中的组件。

原创性/价值

提供了三个常用机器的结果，这些机器具有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构造、最佳位置的检测和机器故障的识别。最后，基于设置设计，3D打印用于构建传感器阵列。因此，具有故障检测功能的传感器阵列可避免主要组件故障并提高系统可靠性/弹性。