基于数值特征识别的汽车故障诊断方法及应用  

Study on method of automobile fault diagnosis based on numerical feature state recognition and its application

作　　者：张丽莉[1] 储江伟[2] 强添刚[1] 韩大明[1] 

机构地区：[1]东北林业大学交通学院,黑龙江哈尔滨150040 [2]吉林大学交通学院,吉林长春130025

出　　处：《黑龙江工程学院学报》2008年第3期45-48,共4页Journal of Heilongjiang Institute of Technology

摘　　要：基于数值特征识别的方法在汽车故障诊断领域中得到广泛的应用,对该方法的特点以及应用研究状况进行系统分析,主要包括时间序列分析方法,如时域分析法和频域分析法;小波分析法;模式识别法,如时域模型法、灰色模型关联度分析法、混沌识别法、模糊识别法以及神经网络识别方法等。并根据目前的研究状况提出优化现有方法、研究新理论新技术、发展远程故障监测以及智能化模式识别方法是未来汽车故障诊断方法研究的主要发展方向。Based on numerical feature state recognition method which is the popular method on automobile fault diagnosis field, the characteristics and its application are analyzed in this paper, mainly including time series analysis methods such as time-domain analysis and frequency-domain analysis; wavelet transmission analysis method; numerical feature recognition method such as time-domain model, grey relational grade model, chaotic recognition, fuzzy recognition and neural network recognition and so on. Then according to the current study, this paper put forward that improving available method, studying new theory and new technology, developing remote fault monitor and intelligent recognition method are the future development direction on automobile fault diagnosis.

关 键 词：数值特征 信号分析 模式识别 故障诊断 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]