Deep Learning-Based Adaptive Neural-Fuzzy Structure Scheme for Bearing Fault Pattern Recognition and Crack Size Identification

Bearings are complex components with onlinear behavior that are used to mitigate the effects of inertia. These components are used in various systems, including motors. Data analysis and condition monitoring of the systems are important methods for bearing fault diagnosis. Therefore, a deep learning...

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Bibliografiska uppgifter

Huvudupphov:	Farzin Piltan, Bach Phi Duong, Jong-Myon Kim
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	MDPI AG 2021-03-01
Serie:	Sensors
Ämnen:	autoregressive-Laguerre method support vector regression technique high-order variable structure observer adaptive neural-fuzzy technique convolution neural network support vector machine
Länkar:	https://www.mdpi.com/1424-8220/21/6/2102
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