摘要
基于声信号的汽车发动机故障诊断方法近些年发展较快。本文介绍了当前应用于发动机故障诊断领域的声信号测试方法、小波分析故障信号特征提取方法以及神经网络模态识别等智能故障诊断方法,并与传统发动机故障诊断方法进行了比较,阐明了声信号智能诊断方法在发动机故障诊断方面的优越性,可为今后的发动机故障诊断研究工作提供理论依据。
Acoustic signal application in engine--fault diagnosis has developed rapidly in resent years. This paper introduces the acoustic signal measurement approaches in the engine fault diagnosis field, the feature extraction of failure signals by wavelet analysis and the neural network based on mode recognitions, etc. Comparisons between the traditional methods and the intelligent diagnosis methods suggest that the latter is superior to the former for the purpose of engine--fault diagnosis. This work may be a theory basis for the future research on engine--failure diagnosis.
出处
《渤海大学学报（自然科学版）》
CAS
2008年第3期264-267,共4页
Journal of Bohai University:Natural Science Edition
基金
辽宁省自然科学基金(20072198)
辽宁省教育厅科学基金(20060393)
关键词
声信号
发动机
故障诊断
综述
acoustic signal
gas engine
fault diagnosis
summary
