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基于小波包分析的内燃机振动诊断方法研究
引用本文:刘世元,杜润生,杨叔子.基于小波包分析的内燃机振动诊断方法研究[J].华中科技大学学报(自然科学版),1999,27(8):7-9.
作者姓名:刘世元  杜润生  杨叔子
作者单位:华中理工大学机械科学与工程学院
基金项目:国家“九五”攀登计划资助,中国船舶工业总公司国防科技预研资助
摘    要:针对内燃机缸盖振动信号的非平稳时变特点,通过给出小波包变换的一种改进算法,提出从振动信号的小波包分解系数中实现整循环征兆提取和故障识别的方法.实验结果表明了该方法的工程有效性.

关 键 词:内燃机  故障诊断  振动  小波包  时频分析
修稿时间:1999-03-18.

Engine Diagnosis by Wavelet Packets Decomposition of Vibration Signal Measured on Cylinder Head
Liu Shiyuan,Du Runsheng,Yang Shuzi.Engine Diagnosis by Wavelet Packets Decomposition of Vibration Signal Measured on Cylinder Head[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,1999,27(8):7-9.
Authors:Liu Shiyuan  Du Runsheng  Yang Shuzi
Institution:Liu Shiyuan Du Runsheng Yang Shuzi
Abstract:According to the non stationary and time varying characteristics of vibration signals measured on cylinder head, a unique technique for fault diagnosis of internal combustion engines by wavelet packets (WP) analysis is proposed. An improved algorithm for WP decomposition is put forward. This algorithm overcomes the existing frequency aliasing. By using such algorithm, an approach to signature extraction and fault identification is brought forth. The diagnostic signatures consist of the decomposed WP coefficients of the vibration signal synchronously sampled during a full working cycle. The experimental results show that this technique is simple to implement and may provide practical utility for vibration diagnosis in internal combustion engines as well as in other complex machines.
Keywords:internal combustion engine  fault diagnosis  vibration  wavelet packets  time  frequency analysis  Liu Shiyuan  Dr    College of Mech  Sci  & Eng    HUST  Wuhan 430074  China  
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