A hybrid approach for fault diagnosis of spur gears using Hu invariant moments and artificial neural networks
Achieving a reliable fault diagnosis for gears under variable operating conditions is a pressing need of industries to ensure productivity by averting unwanted breakdowns. In the present work, a hybrid approach is proposed by integrating Hu invariant moments and an artificial neural network for expl...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Polish Academy of Sciences
2020-09-01
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| Series: | Metrology and Measurement Systems |
| Subjects: | |
| Online Access: | http://journals.pan.pl/dlibra/publication/134587/edition/117622/content |