Remote Fault Diagnosis System Based on EMD and SVM for Heavy Rolling-mills

被引：4

作者：

Liu Jinfei ^{[1
]}

Chen Ming ^{[2
]}

Gu Jiayun ^{[3
]}

Cheng Lu ^{[3
]}

机构：

[1] Tongji Univ, Sch Elect & Informat Engn, Shanghai 201804, Peoples R China

[2] Tongji Univ, SinoGerman Coll Appl Sci, Shanghai 201804, Peoples R China

[3] Tongji Univ, Coll Mech Engn, Shanghai 201804, Peoples R China

来源：

ENGINEERING SOLUTIONS FOR MANUFACTURING PROCESSES IV, PTS 1 AND 2 | 2014年 / 889-890卷

关键词：

remote; fault diagnosis; support vector machine (SVM); empirical mode decomposition (EMD);

D O I：

10.4028/www.scientific.net/AMR.889-890.681

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Aiming at the requirements of fault diagnosis for heavy mills, the architecture of remote fault diagnosis system based on EMD and SVM for heavy mills is built. Then the function of 3 main subsystems in the prototype system is introduced: Pattern recognition subsystem is used to evaluate healthy state of equipment with SVM classification algorithm; Fault location subsystem is used to fix fault position in the equipment with the method of Empirical Mode Decomposition and Hilbert-Huang Transform; Remaining life prediction subsystem is used to make a prediction of equipment's health trends with SVM regression algorithm. At last, a remote fault diagnosis system based on website is established.

引用

页码：681 / +

页数：2

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