Research on fault prediction technology for contactor failure problem
To solve the problem of contactor failure, the degradation data of contactor electrical parameters are obtained through electrical lifetime test. First, the contactor residual life prediction model based on BP neural network is established, and then the contactor life prediction statistical model based on Weibull distribution is established. The fault prediction and health management of contactor are realized by using the contactor failure mechanism analysis method of distance discriminating.
Authors
- Wanbin Ren (ORCID: https://orcid.org/0000-0002-8319-1740)
- He Wang (ORCID: https://orcid.org/0000-0002-2281-5679)
- Ning Zhang (ORCID: https://orcid.org/0000-0002-0639-3920)
- Liang Liu (ORCID: https://orcid.org/0000-0002-6272-2565)
- Peng Wang (ORCID: https://orcid.org/0000-0001-6467-1581)
- Wei Zhou (ORCID: https://orcid.org/0000-0002-5931-3197)
Institutions
- Shenyang Aerospace University (CN)
- Harbin Institute of Technology (CN)
Publication Details
- Journal
- IET conference proceedings.
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1049/icp.2024.2943
- Primary Topic
- Power Systems and Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00