高压断路器机械振动信号混沌吸引子形态特性

提出并探讨了基于混沌吸引子形态特性的高压断路器振动信号特征提取方法。采用功率谱和Lyapunov指数分别对高压断路器振动信号进行定性和定量混沌分析,证实了高压断路器振动信号既包含高压断路器动力学特性,也存在混沌现象;在此基础上,对振动信号进行相空间重构,分析混沌吸引子形态特性与故障类型之间的关系;最后,以不同严重程度的分闸缓冲器故障为例,深入探讨了不同严重程度故障下混沌吸引子的演变规律。研究结果表明,高压断路器振动信号混沌吸引子形态在同一故障状态下较稳定,对故障类型及故障严重程度较敏感,这表明混沌吸引子形态特性是研究高压断路器振动信号特征提取的有效实用途径。

Shape characteristic analysis of chaotic attractor for mechanical vibration signal of high-voltage circuit breaker

A new vibration feature extraction method based on the shape characteristics of chaotic attractor for HVCB(High-Voltage Circuit Breaker) is proposed and discussed. Qualitative and quantitative chaos analysis of HVCB’s vibration signal are carried out respectively by using power spectrum and Lyapunov index,which confirms that the vibration signals of HVCB contain both dynamic and chaotic characteristics.Then phase space reconstruction of vibration signal is performed to analyze the relationship between shape characteristics of chaotic attractor and fault types of HVCB. Taking the opening damper faults with different degrees as examples,the evolution rules of chaotic attractors under different fault degrees are discussed. The results show that the shape of chaotic attractor is stable under same fault type and sensitive to fault type and fault degree,which indicates that the shape characteristic of chaotic attractor is an effective and practical way to study the feature extraction of HVCB’s vibration signal.