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BP Network Optimized with Genetic Algorithm and Apply on The Fault Diagnose of Complex Equipment

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3 Author(s)
Xianyao Meng ; Automation and Electrical Engineering Institute, Dalian Maritime University, Dalian, China. ; Xinjie Han ; Qingyang Xu

The BP neural network has been widely applied on fault diagnose. The BP network adopt the arithmetic of searching along the grads drop, therefore there are some problems such as slow rate of convergence and easily getting into local infinitesimal. The genetic algorithm has excellence of rapid searching rate. Therefore, auto-adapt genetic algorithm is adopted to optimize the BP algorithms in the paper. For example, for fault diagnose in shafting of main engine, an ideal effect can be got while adopting BP network which had been optimized by genetic algorithms for the complex equipment.

Published in:

2007 IEEE International Conference on Control and Automation

Date of Conference:

May 30 2007-June 1 2007