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Gear Pitting Fault Diagnosis Using Integrated CNN and GRU Network with Both Vibration and Acoustic Emission Signals
This paper deals with gear pitting fault diagnosis problem and presents a method by integrating convolutional neural network (CNN) and gated recurrent unit (GRU) networks with vibration and acoustic emission signals to solve the problem. The presented method first trains a one-dimensional CNN with a...
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| Pubblicato in: | Applied Sciences |
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| Autori principali: | , , , |
| Natura: | Articolo |
| Pubblicazione: |
MDPI AG
2019-02-01
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| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2076-3417/9/4/768 |
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