小波分形技术在车用柴油机振动诊断中的应用  

Application of wavelet and fractal theory to vibration diagnosis of vehicle diesel engine

作　　者：刘春[1] 张来斌[1] 王朝晖[1] 

机构地区：[1]石油大学(北京)机电工程学院,北京昌平102249

出　　处：《石油矿场机械》2004年第6期27-29,共3页Oil Field Equipment

基　　金：国家自然科学基金项目资助车用发动机报废状态的诊断理论及方法研究 ( 5 0 10 5 0 15 )

摘　　要：文章针对柴油机冲击信号的特点 ,选择适当的小波函数对柴油机振动信号进行处理 ,并计算了特定尺度下振动序列的分形维数 ,同时结合该信号的频谱图形 ,来实现柴油机异常状态的识别。实验结果表明 。The multi-resolution decomposition theory can display the engine vibration signal at different scales, which leads to the realization of signal processing based on the frequency band. The proper wavelet function is used to analyze the signal according to the combustion impulsion characteristic. The engine abnormal operating state is identified by calculating the fractal dimension of the time series at a given scale in conjunction with the signal’s frequency spectrum. The experiment result shows the fractal dimension of the given frequency band is more sensitive to the engine running condition.

关 键 词：柴油机 小波分析 分形维数 状态识别 

分 类 号：TE927.05[石油与天然气工程—石油机械设备]