Failure Analysis Informing Embedded Health Monitoring of Electromagnetic Relays

Lucas Kirschbaum, F. Dinmohammadi, D. Flynn, V. Robu, M. Pecht
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引用次数: 6

Abstract

In this paper, failure analysis of an electromagnetic relay is studied to inform embedded health monitoring for the prediction of Remaining Useful Life (RUL) of electromagnetic relays. A statistical design of experiment with online monitoring of voltage, current, temperature, resistance, duty cycle, and frequency is used to identify relay failure precursors. Examples of detected precursors include abnormal spikes in resistance and extension of the average closing time of the relay within the final 1.5 million actuations prior to failure. A detailed post-failure analysis utilising white light interferometry and energy dispersive X-ray (EDX) analysis reveals the relay failure modes associated with erosion, pit and crater formation, and material transfer. The results demonstrate that low resolution data can detect signatures of impending failure modes such as stuck open and closed failures as well as unacceptable long opening times. The findings within this paper demonstrate remote monitoring of the near real-time health of electromagnetic relays with low resolution data analysis.
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故障分析为嵌入式电磁继电器健康监测提供信息
本文研究了电磁继电器的失效分析,为嵌入式健康监测提供信息,预测电磁继电器的剩余使用寿命。采用在线监测电压、电流、温度、电阻、占空比和频率的统计实验设计来识别继电器故障前兆。检测到的前兆包括电阻异常尖峰和继电器在失效前的最后150万次驱动中平均合闸时间的延长。利用白光干涉测量和能量色散x射线(EDX)分析的详细失效后分析揭示了与侵蚀、坑和陨石坑形成以及材料转移相关的继电器失效模式。结果表明,低分辨率数据可以检测出即将发生的故障模式的特征,如卡开和闭故障以及不可接受的长开时间。本文的研究结果表明,通过低分辨率数据分析,可以对电磁继电器的近实时健康状况进行远程监测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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