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基于稀疏符号时间序列分析的转子碰摩故障早期检测方法
引用本文:郭劲松,卫武迪.基于稀疏符号时间序列分析的转子碰摩故障早期检测方法[J].振动与冲击,2008,27(12).
作者姓名:郭劲松  卫武迪
作者单位:四川大学电气信息学院,成都,610065
摘    要:引入稀疏混沌时间短序列概念,提出了稀疏符号时间序列分析方法与实现流程.利用映射空间关系对混沌振子的相变进行自治而快速辨识,以尽早而准确地捕捉表征转子碰摩早期的特征信号,进而实现对转子碰摩故障进行早期检测.仿真和数值实验均表明,基于稀疏符号时间序列分析方法可以对信噪比为-37.163 dB左右的微弱信号进行可靠检测,是一种具有实际应用价值的故障早期特征检测方法.

关 键 词:稀疏符号时间序列分析  转子系统  碰摩故障  早期检测

METHODS FOR IDENTIFICATION AND EARLY DETECTION OF RUB-IMPACT FAULT IN ROTORS BASED ON SPARSE SYMBOLIC TIME SERIES ANALYSIS
GUO Jin-song,WEI Wu-di.METHODS FOR IDENTIFICATION AND EARLY DETECTION OF RUB-IMPACT FAULT IN ROTORS BASED ON SPARSE SYMBOLIC TIME SERIES ANALYSIS[J].Journal of Vibration and Shock,2008,27(12).
Authors:GUO Jin-song  WEI Wu-di
Affiliation:GUO Jin-song,WEI Wu-di(School of Electrical Engineering & Information,Sichuan University,Chengdu 610065,China)
Abstract:The concept of sparse symbolic time series analysis was brought in and the method and procedure for implementation of the analysis was proposed.The mapping space relationship was utilized to determine the phase transition of oscillator autonomously and quickly in order to catch the characteristic signal of mechanical faults as early and accurately as possible,and then the early detection of rub-impact fault in rotor was realized.The simulation and numerical analysis demonstrate that the method can reliably ...
Keywords:sparse symbolic time series analysis  rotor system  rub-impact fault  early detection  
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