Fault diagnosis of diesel engine valve clearance under variable operating condition based on soft interval SVM

作     者：Jiang Zhinong Lai Yuehua Mao Zhiwei Zhang Jinjie Lai Zehua 江志农;Lai Yuehua;Mao Zhiwei;Zhang Jinjie;Lai Zehua

作者机构：Key Laboratory of Engine Health Monitoring-Control and Networking of Ministry of EducationBeijing University of Chemical TechnologyBeijing 100029P.R.China Beijing Key Laboratory of High-End Mechanical Equipment Health Monitoring and Self-RecoveryBeijing University of Chemical TechnologyBeijing 100029P.R.China China Nuclear Control Systems Engineering Co.LtdBeijing 102401P.R.China 

出 版 物：《High Technology Letters》 (高技术通讯（英文版）)

年 卷 期：2021年第27卷第2期

页      面：111-120页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 080703[工学-动力机械及工程] 081104[工学-模式识别与智能系统] 08[工学] 0807[工学-动力工程及工程热物理] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Supported by the National Key Research and Development Plan(No.2016YFF0203305) the Fundamental Research Funds for the Central Universities(No.JD1912,ZY1940) Double First-rate Construction Special Funds(No.ZD1601) 

主　　题：diesel engine fault diagnosis operating condition support vector machine(SVM) 

摘      要：The fault detection and diagnosis of diesel engine valve clearance can effectively improve the availability and safety of diesel engine and have extremely important value and *** engines generally operate in various stable operating conditions,which have important influence on the fault ***,many fault diagnosis methods have been put forward under specific stable operating condition based on vibration *** the result of great impact caused by operating conditions,corresponding diagnosis models cannot deal with the fault diagnosis under different operating conditions with required *** this paper,a fault diagnosis of diesel engine valve clearance under variable operating condition based on soft interval support vector machine(SVM)is ***,the fault features with weak condition sensitivity have been extracted according to the influence analysis of fault on vibration ***,soft interval constraint has been applied to SVM algorithm to reduce the random influence of vibration signal on fault *** addition,different machine learning algorithms based on different feature sets are adopted to conduct the fault diagnosis under different operating conditions for *** results show that the proposed method is applicable for fault diagnosis under variable operating condition with good accuracy.