基于小波包分解的柴油机异响故障特征提取与诊断  

Feature Extraction and Diagnosis on the Abnormal Sound Faults of Diesel Engine Based on the Wavelet Packet

作　　者：周斌[1] 王保民[1] 梅检民[1] 杨万成[1] 司爱威[1] 傅钰[2] 

机构地区：[1]军事交通学院汽车工程系,天津310061 [2]军事交通学院装备保障系,天津300161

出　　处：《军事交通学院学报》2009年第2期30-34,39,共6页Journal of Military Transportation University

摘　　要：在分析小波包分解原理的基础上,提出了利用柴油机缸体振动信号的小波包特定频带能量值作为特征向量实现柴油机异响故障诊断的方法和步骤,并利用该方法对EQ6BT柴油机活塞敲缸响、活塞销响两种异响故障进行了特征提取与诊断。结果表明：利用柴油机转速为1300r/min时采集到的缸体振动信号,用1.25～1.875kHz和3.75～4.375kHz频带的信号能量值作为特征向量,采用欧式距离法能够有效地诊断出EQ6BT柴油机活塞敲缸响、活塞销响两种故障及其严重程度。This paper puts forward a new method of the applications of Wavelet Packet Frequency Band Energy on feature extraction and fault diagnosis of diesel engine＇s abnormal sound faults. By this way, we realize the feature extraction and fault diagnosis of EQ6BT diesel engine＇s piston knock and piston pin knock. The result shows ： making use of earthen vibration signal which is collected by rotational speed 1300 r/min of diesel engine, using 1.25 -1. 875 kHz and 3.75 -4. 375 kHz band, signal energy value as feature vector, adopting European distance method can diagnoses EQ6BT poiston earthen slap and piston pin knock effectively.

关 键 词：小波包分解 柴油机 故障诊断 特征提取 

分 类 号：TK428[动力工程及工程热物理—动力机械及工程]