Motor Fault Prediction Based on Fault Feature Extraction and Signal Distribution Optimization

The fault prediction of motors can effectively reduce the occurrence of accidents and change the post diagnosis to prevention. However, the systematic errors caused by the complex signal components, such as different kinds of randomly distributed noise, make the false report or misreport inevitable,...

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Veröffentlicht in:	IEEE transactions on instrumentation and measurement 2023, Vol.72, p.1-14
Hauptverfasser:	Qu, Yinpeng, Wang, Xiwei, Zhang, Xiaofei, Qin, Guojun
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive algorithms Aeronautics Circuit faults Degradation Fault diagnosis Fault prediction Feature extraction gated recurrent unit (GRU) Mathematical models Optimization Prediction models Predictions Predictive models Signal distribution signal distribution optimization Systematic errors Time series analysis Time-frequency analysis time-frequency characteristics
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