Demagnetization Fault Diagnosis of Permanent Magnet Synchronous Motors Based on Stator Current Signal Processing and Machine Learning Algorithms.

导出 OA

翻译打印收藏纠错

作者： Przemyslaw,Pietrzak ^[1] ; Marcin,Wolkiewicz ^[1]

作者单位： Department of Electrical Machines, Drives and Measurements, Wroclaw University of Science and Technology, Wybrzeze Wyspianskiego 27, 50-370 Wroclaw, Poland. ^[1]

关键词 artificial intelligence condition monitoring demagnetization fault diagnosis machine learning neural networks permanent magnet synchronous motor short-time Fourier transform

DOI 10.3390/s23041757

PMID 36850353

发布时间 2023-03-01

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交

浏览0

Sensors (Basel, Switzerland)

2023年23卷4期

相似文献

中文期刊
外文期刊
学位论文
会议论文

检索历史清除

Demagnetization Fault Diagnosis of Permanent Magnet Synchronous Motors Based on Stator Current Signal Processing and Machine Learning Algorithms.

Sensors (Basel, Switzerland)

相似文献

Sensors (Basel, Switzerland)

相关期刊

参考文献：
指定格式：	NoteExpress EndNote RefWorks NoteFirst

检索历史 清除

Demagnetization Fault Diagnosis of Permanent Magnet Synchronous Motors Based on Stator Current Signal Processing and Machine Learning Algorithms.

Sensors (Basel, Switzerland)

相似文献

Sensors (Basel, Switzerland)

相关期刊

检索历史清除