基于双谱和变精度粗糙集理论的柴油机故障特征自动提取  

Automatic extraction of fault features for diesel engine based on bispectrum approach and variable precision rough set theory

作　　者：赵慧敏[1] 梅检民[2] 肖云魁[1] 乔龙[1] 陈祥龙[1] 

机构地区：[1]军事交通学院汽车工程系,天津300161 [2]军械工程学院火炮工程系,石家庄050003

出　　处：《振动与冲击》2011年第6期223-228,共6页Journal of Vibration and Shock

基　　金：总装备部预研项目(40407030302)

摘　　要：采用双谱对柴油发动机曲轴轴承非稳态振动信号进行了分析,根据双谱对称性,对第一象限的对角线及对角线以下区域划分成若干等分区域,计算每个等分频率面内的双谱平均幅值,作为分析对象特征值,利用变精度粗糙集理论提取与特定故障部位强相关特征参数。分析结果表明:双谱能有效消除曲轴轴承非稳态振动信号中的噪声,变精度粗糙集能提取出与分析对象相关的关键因素,双谱和变精度粗糙集相结合能实现故障特征的自动提取。The unstable vibration signal of diesel engine crankshaft bearing was analyzed by using the method of bispectrum.According to the symmetrical property of bispectrum,the area below the diagonal in the first quadrant was divided equally into some identical regions in which the average magnitude of bispectrum components was calculated and taken as the feature of the analysed object.The variable precision rough set theory（VPRST） was then used to extract the feature parameters that correlate with the fault parts tightly.The analysis results show that the noise buried in the unstable vibration signal of crankshaft bearing can be eliminated by the bispectrum approach,the key factors relevant to the analysed object can be mined in accordance with VPRST,and the fault feature can be extracted automatically by bispectrum analysis combined with VPRST.

关 键 词：双谱 变精度粗糙集 柴油机 故障特征 自动提取 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]