Artificial neural network model for monitoring oil film regime in spur gear based on acoustic emission data
The thickness of an oil film lubricant can contribute to less gear tooth wear and surface failure. The purpose of this research is to use artificial neural network (ANN) computational modelling to correlate spur gear data from acoustic emissions, lubricant temperature, and specific film thickness ()...
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| Main Authors: | , , |
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| Format: | Article |
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Hindawi Publishing Corporation
2015
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/57894/ http://dx.doi.org/10.1155/2015/106945 |
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