A Review of Reliability Assessment and Lifetime Prediction Methods for Electrical Machine Insulation Under Thermal Aging

A Review of Reliability Assessment and Lifetime Prediction Methods for Electrical Machine Insulation Under Thermal Aging

The thermal aging of insulation systems in electrical machines is a critical factor influencing their reliability and lifetime, particularly in modern high-performance electrical equipment. However, evaluating and predicting insulation lifetime under thermal aging poses significant challenges due to...

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Bibliographic Details
Main Authors: Jian Zhang, Jiajin Wang, Hongbo Li, Qin Zhang, Xiangning He, Cui Meng, Xiaoyan Huang, Youtong Fang, Jianwei Wu
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Energies
Subjects:
thermal aging
physics of failure
artificial intelligence algorithms
curve-fitting technologies
stochastic process
application of insulation lifetime model
Online Access:https://www.mdpi.com/1996-1073/18/3/576
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