Fault Diagnosis of Diesel Engine Based on Wavelet Analysis, EMD and Neural Networks

被引：0
|
作者：
Teng, Xianbin [1 ,2 ]
Zhang, Jundong [1 ]
Zhang, Shihai [2 ]
Wang, Ranran [2 ]
机构：
[1] Dalian Marine Univ, Marine Engineer Coll, Dalian 116026, Peoples R China
[2] Tianjin Maritime Vocat Inst, Tianjin 300457, Peoples R China
来源：
MECHATRONICS AND INTELLIGENT MATERIALS, PTS 1 AND 2 | 2011年 / 211-212卷
关键词：
Diesel engine; Wavelet analysis; Empirical mode decomposition; Neural network;
D O I：
10.4028/www.scientific.net/AMR.211-212.1031
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Based on the complexity of surface vibration of diesel engine, the wavelet denoising method is used to process the monitor signal Preliminary. And then several vibration modes are isolated based on EMD method. Finally take the energy of these vibration modes as the input parameters to create neural network for fault diagnosis of diesel engine valve. The method has accomplished the fault diagnosis of the diesel engine merging many methods.
引用
收藏
页码：1031 / +
页数：2
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