基于神经网络技术的柴油机故障诊断  

Diesel Engine Fault Diagnosis Based on Artificial Neural Networks

作　　者：张俊[1] 刘永长[1] 黄强[1] 

机构地区：[1]华中科技大学能源与动力工程学院,武汉430074

出　　处：《柴油机设计与制造》2002年第4期20-22,共3页Design and Manufacture of Diesel Engine

摘　　要：本文提出了一种新的柴油机故障诊断方法,利用柴油机表面振动信号经过小波包提取特征参数,然后由BP神经网络进行故障诊断。实验研究和计算机模拟的结果表明,这一方法是可行和有效的。Based on artificial neural networks technology , a new method is proposed for diesel engine fault diagnosis through vibration signal. Wavelet packet transform was adopted to extract the energy feature of the signal which reflects the feature of the engine fault, then a new improved algorithm (IBP)to diagnose the diesel engine failure. Experimentation and computer simulation shows that the proposed method is very effective.

关 键 词：神经网络 柴油机 故障诊断 振动 数据采集 

分 类 号：TK428[动力工程及工程热物理—动力机械及工程]