Study on Detection and Fault Diagnosis System of Transmission of Coal Cutter Based on Improved BP Neural Network
To improve the fault diagnosis effect of transmission of coal cutter and ensure the smooth work of coal cutter, the detection and fault diagnosis system of transmission of coal cutter is designed and analyzed in this study. Based on the improved BP neural network and the internal Web remote fault di...
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| Format: | Article |
| Language: | English |
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AIDIC Servizi S.r.l.
2018-12-01
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| Series: | Chemical Engineering Transactions |
| Online Access: | https://www.cetjournal.it/index.php/cet/article/view/9436 |
| Summary: | To improve the fault diagnosis effect of transmission of coal cutter and ensure the smooth work of coal cutter, the detection and fault diagnosis system of transmission of coal cutter is designed and analyzed in this study. Based on the improved BP neural network and the internal Web remote fault diagnosis technology, this study designs and tests the detection and fault diagnosis system of transmission of coal cutter. It is found that the accuracy of fault diagnosis is 100% by using sample input neural network, indicating that the detection and fault diagnosis system of transmission of coal cutter designed by the improved BP neural network algorithm has high accuracy and practicability. |
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| ISSN: | 2283-9216 |