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机械故障信号小波包分解的时域特征提取方法研究
引用本文:杨国安,钟秉林,黄仁,贾民平,许云飞.机械故障信号小波包分解的时域特征提取方法研究[J].振动与冲击,2001,20(2):25-28,31.
作者姓名:杨国安  钟秉林  黄仁  贾民平  许云飞
作者单位:东南大学机械系,
基金项目:国家自然科学基金资助项目(59905005)
摘    要:本文利用小波包分妥机械故障信号,对分解后的不同频带内的分解系数进行时域重构,分别对重构时间序列用时域分析的方法提取对故障敏感的特征参数,实现对往复机械等复杂机械的故障诊断,并以某油田往复泵为例,验证了该方法对这类机械进行故障诊断的有效性。

关 键 词:小波包分析  故障诊断  往复机械  时域特征提取

Research on the Extraction Method of Time-Domain Symptoms Based on Wavelet Packet Decompositions of Mechanical Fault Signal
Yang Guoan,Zhong Binglin,Huang Ren,Jia Minping,Xu Feiyun,WTBZ.Research on the Extraction Method of Time-Domain Symptoms Based on Wavelet Packet Decompositions of Mechanical Fault Signal[J].Journal of Vibration and Shock,2001,20(2):25-28,31.
Authors:Yang Guoan  Zhong Binglin  Huang Ren  Jia Minping  Xu Feiyun  [WTBZ]
Affiliation:Yang Guoan Zhong Binglin Huang Ren Jia Minping Xu Feiyun [WT5BZ]
Abstract:WT5BZ]In the paper the mechanical fault signal is analyzed by wavelet packet decomposittion.On the basis,by use of the decomposed coefficients a time series is reconstructed,from which some valid fault_identified parameters are extracted by time_domain analysis.The effectiveness of the method which is used to diagnose reciprocating machine is verified by a real example. WT5HZ]
Keywords:symptom extraction  wavelet packet analysis  fault diagnosis  reciprocating machine
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