| 基于声信号的汽车发动机故障诊断方法综述 |
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| 引用本文： | 吴大钰,王岩松,李燕,汤晓林.基于声信号的汽车发动机故障诊断方法综述[J].渤海大学学报(自然科学版),2008,29(3). |
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| 作者姓名： | 吴大钰 王岩松 李燕 汤晓林 |
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| 作者单位： | 1. 辽宁工业大学汽车与交通学院,辽宁,锦州,121001
2. 辽宁工业大学汽车与交通学院,辽宁,锦州,121001;辽宁省高等学校汽车工程研究中心,辽宁,锦州,121000 |
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| 基金项目： | 辽宁省自然科学基金，辽宁省教育厅资助项目 |
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| 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。
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| 关 键 词： | 声信号 发动机 故障诊断 综述 |
A summary on gas engine-fault diagnostic methods based on acoustic signal processing |
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| WU Dayu,WANG Yan-song,LI Yan,TANG Xiao-lin.A summary on gas engine-fault diagnostic methods based on acoustic signal processing[J].Journal of Bohai University:Natural Science Edition,2008,29(3). |
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| Authors: | WU Dayu WANG Yan-song LI Yan TANG Xiao-lin |
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| Affiliation: | 1.School of Automobile and Traffic Engineering;Lianing University of Technology;Jinzhou 121001;China;2.Liaoning Academic Research Center of Automotive Engineering;Jinzhou 121000;China |
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| Abstract: | 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 bas... |
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| Keywords: | acoustic signal gas engine fault diagnosis summary |
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