运用HHT边际谱的柴油机故障诊断  

Fault Diagnosis of Diesel Engine Based on HHT Marginal Spectrum

作　　者：王醇涛[1] 陆金铭[1] 

机构地区：[1]江苏科技大学船舶与海洋工程学院,镇江212003

出　　处：《振动．测试与诊断》2010年第4期465-468,共4页Journal of Vibration,Measurement & Diagnosis

摘　　要：提出了一种基于希尔伯特-黄变换(Hilbert-Huang transformation,简称HHT)边际谱的柴油机故障诊断方法。在3110柴油机上进行了气门间隙变化和断油等故障的模拟试验,测取了柴油机在断油工况和气门间隙异常工况下的气缸盖振动信号,并采用抽区间采样分析法对缸盖振动信号进行了时域特性分析。通过对故障敏感段信号的HHT边际谱分析,得出了在各工况下信号随时间和频率变化的精确表达,并以边际谱的最大峰值作为特征向量,采用马氏距离(Mahalanobis距离)进行分类,判断柴油机的工作状态和故障类型。试验分析表明,该方法即使在小样本的情况下也能有效地识别柴油机气门间隙变化和断油故障。A new method of fault diagnosis of diesel engine based on HHT marginal spectrum is put forward in this paper.A lot of diesel engine faults were simulated and investigated on the diesel engine type 3110,and surface vibration signals were obtained under both fault and normal conditions. Interval analysis method was used to analysis the property of the signals in the time domain.The HHT(Hilbert-Huang transformation) marginal spectrum method was used to analyze the segments of the signal which are sensitive to the faults,and an exact expression of the variatioin of the signal with time and frequency was obtained.The maximum peak value of the marginal spectrum was adopted as the feature vector and served as the input parameter of Mahalanobis distance classifier to classify working condition of the diesel engine.The results show that the proposed approach can classify working condition of the diesel engine accurately and effectively even under conditons of a small sample size.

关 键 词：柴油机 故障诊断 希尔伯特-黄变换 边际谱 马氏距离 

分 类 号：TH133[机械工程—机械制造及自动化] TK413.4[动力工程及工程热物理—动力机械及工程]