摘要
叶片裂纹是风机中普遍存在的一种严重安全隐患,能够尽早地检测出裂纹现象的存在对于工矿安全生产具有重要意义。利用M带小波分析方法对采集的叶片无裂纹和具有初期裂纹时的气动信号分别进行3带3层小波分解,并对分解系数进行重构,获取各频带归一化能量作为特征向量进行故障诊断。结果证明:该方法能有效诊断出初期裂纹故障。
A method for diagnosing the fault of blade crack based on M-band wavelet transform is put forward.In this method,theory of 3-band wavelet decomposition is applied to processing the signals that are collected in the working condition of a normal blade and a blade with cracks.Then,the decomposition coefficients are determined,and the normalized energy of every frequency band is reconstructed.The energy of every frequency band is calculated and used as the character vector of diagnosis.The results show that this method can recognize the fault of blade crack effectively.
出处
《机械科学与技术》
CSCD
北大核心
2010年第5期630-633,共4页
Mechanical Science and Technology for Aerospace Engineering
基金
江苏省自然科学基金项目(Bk2005018)资助
关键词
故障诊断
叶片裂纹
气动信号
M带小波分析
fault diagnosis
blade crack
flow fluctuation signal
M-band wavelet analysis
