Motor Fault Diagnosis Based on Scale Invariant Image Features

Traditional fault diagnosis methods are easy to be affected by different working conditions. This article proposed a motor fault diagnosis method based on visual knowledge, to reduce the impact of changes in working conditions and improve the feature extraction ability. The mapping relationship betw...

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Veröffentlicht in:	IEEE transactions on industrial informatics 2022-03, Vol.18 (3), p.1605-1617
Hauptverfasser:	Long, Zhuo, Zhang, Xiaofei, He, Min, Huang, Shoudao, Qin, Guojun, Song, Dianyi, Tang, Yao, Wu, Gongping, Liang, Weizhi, Shao, Haidong
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Data mining Dictionaries Fault detection Fault diagnosis Feature extraction Image processing Industrial applications Invariants Machine learning Motor fault diagnosis scale-invariant feature transform (SIFT) Symmetrized dot pattern symmetrized dot pattern (SDP) Time-frequency analysis Transforms visual knowledge Visualization Working conditions
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