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中文摘要：
针对某型号自动机的结构特点、运动过程和几种常见的故障模式进行分析。结合自动机的运动过程分析及其振动信号的非线性短时冲击特性，提出用混沌理论对自动机的故障进行诊断研究。提取了所测信号的李雅普诺夫指数，验证其为混沌系统，运用关联维数和Kolmogorov熵几个混沌参量提取出实测信号的特征。最后应用 Elman神经网络进行了故障模式的识别，实现了基于试验测试的自动机故障诊断。为自动武器的故障诊断提供了一种新思路，对高速自动机的故障诊断有着重要的理论和现实意义。
英文摘要：
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 recognition.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.
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