Survey on Fault Diagnosis of Diesel Engine Based on Vibration Signal

被引：0

作者：

Wu, Husheng ^{[1
]}

Yan, Qian ^{[1
]}

Ling, Xiaodong ^{[2
]}

机构：

[1] Armed Police Force Engn Univ, Mat Engn Coll, Xian, Shaanxi, Peoples R China

[2] Satellite Maritime Tracking & Control Ctr, Joint Lab Marine Measurement & Control, Jiangying, Peoples R China

来源：

2017 3RD INTERNATIONAL CONFERENCE ON INFORMATION MANAGEMENT (ICIM 2017) | 2017年

基金：

中国博士后科学基金; 中国国家自然科学基金;

关键词：

vibration signal processing; diesel engine; fault diagnosis; pattern recognition; ROTATING MACHINERY; NEURAL-NETWORK; DECOMPOSITION;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The diesel engine, an efficient power machinery, is widely applied in many fields, such as vehicle, watercraft and petroleum machinery. The significance and difficulties of fault diagnosis on diesel engine is stated. Some domestic and foreign conventional methods of diesel state monitoring and fault diagnosis and their principles is discussed. Then, the applications of vibration signal time frequency analysis method and pattern recognition method in fault diagnosis for diesel engine are analyzed. What's more, the established fault diagnosis model which combined signal time frequency analysis method with pattern recognition method is discussed in detail. Finally, the development trend of marine diesel fault diagnosis technology is forecasted.

引用

页码：491 / 495

页数：5

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