Reliability Calculation Method of Electromechanical System Based on Random Fault Injection Combined with Artificial Neural Network

doi:10.3901/JME.2017.06.195

Abstract

Abstract:

Based on the random fault injection combined with artificial neural network (ANN) technology, a reliability calculation method of electromechanical system with correlated failure modes is proposed. The virtual fault information is injected into the piston rod linear positioning system integrated simulation model by taking internal and external leakage of hydraulic cylinder as a typical fault example. By using the strong approximation function of the neural network, the explicit limit state equation between the critical sensitive characteristic parameters and the system state signals is obtained. The reliability probability constraint of the system is transformed into an equivalent deterministic constraint, which avoids the multiple traversal operation of electromechanical system dynamic response. Combined with stochastic simulation, the discussion of the complex correlation between the limit state functions of each failure mode is avoided. The parameter sensitivity analysis of the electromechanical system is analyzed and the sample is simplified by means of orthogonal experimental design method (DOE). Then based on the random fault injection-neural network method, the influence of the critical sensitive characteristic parameters on the reliability of electromechanical system is obtained. The reliability interval and the critical value of failure are obtained, which provide a reference and basis for the reliability analysis and design of electromechanical system.

Key words: correlated failure modes, dynamic, random failure, reliability, artificial neural networks

GUO Jiaojiao, LIU Wei, ZHAI Weihao, SHUI Langquan, ZHAO Hailong. Reliability Calculation Method of Electromechanical System Based on Random Fault Injection Combined with Artificial Neural Network[J]. Journal of Mechanical Engineering, 2017, 53(6): 195-202.

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