Ball Screw Fault Diagnosis Based on Wavelet Convolution Transfer Learning

The ball screw is the core component of the CNC machine tool feed system, and its health plays an important role in the feed system and even in the entire CNC machine tool. This paper studies the fault diagnosis and health assessment of ball screws. Aiming at the problem that the ball screw signal i...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 22; H. 16; S. 6270
Hauptverfasser:	Xie, Yifan, Liu, Chang, Huang, Liji, Duan, Hongchun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 20.08.2022 MDPI
Schlagworte:	Adaptability Adaptation adaptive batch normalization algorithm Algorithms Analysis ball screw convolutional neural network Fault diagnosis Knowledge Liu Chang Machine Learning Machine-tools Machinists' tools Manufacturing Neural networks Noise Signal processing Tool industry transfer learning Working conditions transfer learning fault diagnosis adaptive batch normalization algorithm ball screw convolutional neural network
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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