Study on Automaton Fault Diagnosis Based on Chaos Theory
Aimed at the structural feature and the movement process of certain automaton,the several common failure modes were analyzed.In accordance with the movement process analysis of automaton and nonlinear short-term impact characteristics of vibration signals,the chaos theory was proposed to carry out the automaton fault diagnosis and study.Lyapunov index of measured signals were extracted,and it was verified to be chaotic system,and characteristics of measurement signals were extracted by use of the correlation dimension and several Kolmogorov entropy chaotic parameters.the automatic fault diagnosis based on experimental tests was realized with the help of Elman neural network for fault pattern recogni-tion.The study can provide a new way for the fault diagnosis of automatic weapons,and it has important theoretical and practical significance for high speed automatic fault diagnosis.
NETL
NSTL
万方数据
维普
