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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.