Bearing Fault Detection for Doubly fed Induction Generator Based on Stator Current
IEEE Transactions on Industrial Electronics(2022)
摘要
Bearing failure often occurs in a doubly fed induction generator. The fault diagnosis method based on the current signals has been attracted much attention. In this article, we propose different discrete digital models and their measure functions employing random theory. First, based on the raw current signals with the probability density function (PDF), a distributed discrete digital model is pro...
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关键词
Uncertainty,Doubly fed induction generators,Fault detection,Data models,Time-domain analysis,Stators,Probability density function
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