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.
Original language | English |
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Title of host publication | 2018 3rd International Conference on System Reliability and Safety (ICSRS) |
Publisher | IEEE |
Pages | 261-267 |
Number of pages | 7 |
ISBN (Electronic) | 9781728102382 |
ISBN (Print) | 9781728102399 |
DOIs | |
Publication status | Published - 15 Apr 2019 |
Event | 3rd International Conference on System Reliability and Safety 2018 - barcelona, Barcelona, Spain Duration: 23 Nov 2018 → 25 Nov 2018 https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8672656 |
Conference
Conference | 3rd International Conference on System Reliability and Safety 2018 |
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Abbreviated title | ICSRS 2018 |
Country/Territory | Spain |
City | Barcelona |
Period | 23/11/18 → 25/11/18 |
Internet address |
Keywords
- diagnostics
- electromagnetic relays
- embedded health monitoring
- FMMEA
- RUL
ASJC Scopus subject areas
- Safety, Risk, Reliability and Quality
- Control and Optimization
- Modelling and Simulation