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Particle Filtering Based Remaining Useful Life Prediction for Electromagnetic Coil Insulation

Title
Particle Filtering Based Remaining Useful Life Prediction for Electromagnetic Coil Insulation
Author
홍승호
Issue Date
2021-01
Publisher
MDPI
Citation
SENSORS, v. 21, Issue. 2, Article no. 473, 14pp
Abstract
Electromagnetic coils are one of the key components of many systems. Their insulation failure can have severe effects on the systems in which coils are used. This paper focuses on insulation degradation monitoring and remaining useful life (RUL) prediction of electromagnetic coils. First, insulation degradation characteristics are extracted from coil high-frequency electrical parameters. Second, health indicator is defined based on insulation degradation characteristics to indicate the health degree of coil insulation. Finally, an insulation degradation model is constructed, and coil insulation RUL prediction is performed by particle filtering. Thermal accelerated degradation experiments are performed to validate the RUL prediction performance. The proposed method presents opportunities for predictive maintenance of systems that incorporate coils.
URI
https://www.mdpi.com/1424-8220/21/2/473https://repository.hanyang.ac.kr/handle/20.500.11754/167048
ISSN
1424-8220
DOI
10.3390/s21020473
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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