Fault diagnosis of the gas valve of a diesel engine under uncertain load based on PSD-SVM

被引：0
|
作者：
Nie H. [1 ]
Che C. [1 ]
机构：
[1] School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, Shanghai
来源：
Zhendong yu Chongji/Journal of Vibration and Shock | 2024年 / 43卷 / 02期
关键词：
fault detection; signal analysis; support vector machine (SVM); vibration measurement;
D O I：
10.13465/j.cnki.jvs.2024.02.032
中图分类号：
学科分类号：
摘要：
For many fault diagnosis methods based on vibration signals, the diagnosis result is usually not comprehensive under different loads. A fault diagnosis method based on power spectral density (PSD) and support vector machine (SVM) was proposed, in which the vibration signal power was processed by a moving average filter (MAF), and the PSD of the normalized signal in each period of the sample was calculated, and then the kernel method SVM was used for feature classification, so as to realize fault diagnosis. After the actual diesel engine test, the fault recognition rate of the method under different loads reaches 96. 72%, and it can effectively identify the faults of the intake and exhaust valve gap increase of a diesel engine under different loads. © 2024 Chinese Vibration Engineering Society. All rights reserved.
引用
收藏
页码：299 / 305
页数：6
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