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- W2997353220 endingPage "9346" @default.
- W2997353220 startingPage "9335" @default.
- W2997353220 abstract "Fault diagnosis of rotating machinery plays a significant role in the industrial production and engineering field. Owing to the drawbacks of traditional fault diagnosis methods, such as heavily dependence on human knowledge and professional experience, intelligent fault diagnosis based on deep learning (DL) has aroused the interest of researchers. DL achieves the desirable automatic feature learning and fault classification. Therefore, in this review, DL and DL-based intelligent fault diagnosis techniques are overviewed. DL-based fault diagnosis approaches for rotating machinery are summarized and discussed, primarily including bearing, gear/gearbox and pumps. Finally, with respect to modern intelligent fault diagnosis, the existing challenges and possible future research orientations are prospected and analyzed." @default.
- W2997353220 created "2020-01-10" @default.
- W2997353220 creator A5007263180 @default.
- W2997353220 creator A5017180879 @default.
- W2997353220 creator A5070288761 @default.
- W2997353220 date "2020-01-01" @default.
- W2997353220 modified "2023-10-15" @default.
- W2997353220 title "Deep Learning-Based Intelligent Fault Diagnosis Methods Toward Rotating Machinery" @default.
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