Deep Learning-Based Bearing Fault Diagnosis Method for Embedded Systems
Bearing elements are vital in induction motors; therefore, early fault detection of rolling-element bearings is essential in machine health monitoring. With the advantage of fault feature representation techniques of time–frequency domain for nonstationary signals and the advent of convolutional neu...
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| Huvudupphov: | , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
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MDPI AG
2020-12-01
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| Serie: | Sensors |
| Ämnen: | |
| Länkar: | https://www.mdpi.com/1424-8220/20/23/6886 |
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