Application of Genetic Neural Network to Gear Fault Diagnosis
[1]LIU Jingyan,LI Yudong,YANG Xiaobang.Application of Genetic Neural Network to Gear Fault Diagnosis[J].Journal of Zhengzhou University (Engineering Science),2012,33(03):36-39.[doi:10.3969/j.issn.1671-6833.2012.03.009]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
33卷
Number of periods:
2012 03
Page number:
36-39
Column:
Public date:
2012-05-10
- Title:
- Application of Genetic Neural Network to Gear Fault Diagnosis
- Keywords:
- gear; fault diagnosis; neural network ; genetic algorithm
- CLC:
- TP183
- DOI:
- 10.3969/j.issn.1671-6833.2012.03.009
- Abstract:
- Because gear faults have characteristics of being nonlinear and coupling between fault symptoms andfault, BP neural network gear fault diagnosis has slow convergence speed and poor reliability, The BP neuralnetwork gear fault diagnosis method based on genelic algorithm is put forward. Namely, the BP neural networkis used in gear fault diagnosis, and genetic algorithm is applied to optimize the weights and thresholds of thenetwork. So the global optimal value is obtained, The simulation results show that the diagnosis strategy hasthe characteristic of strong diagnosis ability and high diagnosis effciency and improves the gear fault diagnosisprecision and speed.
- References:
- -
- Similar References:
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Last Update:
1900-01-01