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Fault diagnosis of oil pump based on high speed and precise genetic algorithm neural network

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4 Author(s)
Meijuan Gao ; Dept. of Autom. Control, Beijing Union Univ., Beijing ; Jingwen Tian ; Liting Cao ; Xu, J.

Considering the issues that the relationship between the fault of oil pump existent and fault information is a complicated and nonlinear system, and it is very difficult to found the process model to describe it. According to the physical circumstances of oil pump, a fault diagnosis method of oil pump based on high speed and precise genetic algorithm neural network is presented in this paper. The high speed and precise genetic algorithm neural network is combined the adaptive and floating-point code genetic algorithm with BP which has higher accuracy and faster convergence speed. With the ability of strong self-learning and function approach and fast convergence rate of high speed and precise genetic algorithm neural network, the diagnosis method can truly diagnose the fault of oil pump by learning the fault information of oil pump. The real diagnosis results show that this method is feasible and effective.

Published in:

Cybernetics and Intelligent Systems, 2008 IEEE Conference on

Date of Conference:

21-24 Sept. 2008