| 汽车传动系统机械故障诊断方法的研究 |
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| 引用本文： | 潘旭峰.汽车传动系统机械故障诊断方法的研究[J].汽车工程,1998,20(3):156-164. |
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| 作者姓名： | 潘旭峰 |
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| 作者单位： | 北京理工大学
(潘旭峰，李晓雷)，兵器工业经济研究所(耿立恩) |
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| 摘 要： | 本文针对汽车传动系统主要零部件的特点，研究了基于振动信号的故障诊断方法，包括特征提取、模式分类和诊断决策全过程。
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| 关 键 词： | 传动系统 故障诊断 特征提取 数据融合 汽车 |
The Research on Fault Diagnosis in Automobile Transmission System Based on Vibration Signals |
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| Pan Xufeng & Li Xiaolei,Beijing Institute of Technology Geng Li''''en,North Industry Institute of Economy.The Research on Fault Diagnosis in Automobile Transmission System Based on Vibration Signals[J].Automotive Engineering,1998,20(3):156-164. |
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| Authors: | Pan Xufeng & Li Xiaolei Beijing Institute of Technology Geng Li'en North Industry Institute of Economy |
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| Institution: | Pan Xufeng & Li Xiaolei
Beijing Institute of Technology Geng Li'en
North Industry Institute of Economy |
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| Abstract: | In accordance with the characteristics of key parts of automobile transmission system, this paper discusses the whole process of fault diagnosis based on vibration signals, including feature extraction, pattern recognition and diagnosis decision. First, feature extraction is carried out by various methods in time domain and frequency domain for stable signals, and wavelet transform for time varying signals. Then feature vectors are composed. Finally, neural networks and grey system theory are used to diagnose fault in single sensor mode. On these bases, data fusion technique is used to process the information from multi-sensors comprehensively. |
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| Keywords: | Transmission system Fault diagnosis Feature extraction Data fusion |
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