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

2014 ◽  
Vol 889-890 ◽  
pp. 681-686 ◽  
Author(s):  
Jin Fei Liu ◽  
Ming Chen ◽  
Jia Yun Gu ◽  
Lu Cheng
Keyword(s):  
Fault Diagnosis ◽  
Fault Location ◽  
Prototype System ◽  
Diagnosis System ◽  
Health Trends ◽  
Hilbert Huang Transform ◽  
Mode Decomposition ◽  
Healthy State ◽  
Fault Diagnosis System ◽  
Remote Fault Diagnosis

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 equipments health trends with SVM regression algorithm. At last, a remote fault diagnosis system based on website is established.

Remote Fault Diagnosis System of Ultrahigh Speed Grinding Based on Multi-Agent

2009 ◽  
Vol 76-78 ◽  
pp. 67-71
Author(s):  
Wan Shan Wang ◽  
Tian Biao Yu
Keyword(s):  
Fault Diagnosis ◽  
Theoretical Research ◽  
Case Based Reasoning ◽  
Diagnosis System ◽  
Knowledge Reasoning ◽  
Diagnosis Method ◽  
Multi Agent ◽  
Fault Diagnosis System ◽  
Set Up ◽  
Remote Fault Diagnosis

A remote fault diagnosis method for ultrahigh speeding grinding based on multi-agent is presented. The general faults of ultrahigh speed grinding are analyzed and diagnosis model based on multi-agent is established, the dialogue layer, problem decomposition layer, control layer and problem solving layer in the process of diagnosis are studied and the knowledge reasoning model of fault diagnosis is set up based case-based reasoning (CBR) combining rule-based reasoning (RBR). Based on theoretical research, a remote fault diagnosis system of ultrahigh speed grinding is developed. Results of the system running prove the theory is correctness and the technology is feasibility.

scholarly journals Design of Remote Fault Diagnosis System for Medium and Small-sized Enterprises

2011 ◽  
Vol 24 ◽  
pp. 48-52
Author(s):  
Jianwei Li ◽  
Zhihua Yuan ◽  
Hui Tian ◽  
Aiqin Liang
Keyword(s):  
Fault Diagnosis ◽  
Diagnosis System ◽  
Fault Diagnosis System ◽  
Remote Fault Diagnosis

Study on XML-Based Apriori Algorithm Applying to Remote Diagnosis System for Hoist

2011 ◽  
Vol 201-203 ◽  
pp. 510-513
Author(s):  
Juan Li Li ◽  
Zhao Jian Yang
Keyword(s):  
Fault Diagnosis ◽  
Apriori Algorithm ◽  
Remote Diagnosis ◽  
Diagnosis System ◽  
Operation Process ◽  
Fault Diagnosis System ◽  
Remote Fault Diagnosis

According to the data characteristics in the hoister operation process and the network requirements of fault diagnosis system, this paper proposes a XML-based apriori algorithm, and the algorithm is applied to hoist remote fault diagnosis system. The experiment result shows that applying the system can make the hoist fault diagnosis more scientific, reasonable and improve the efficiency and accuracy of diagnosis.

The Remote Fault Intelligent Diagnosis System Based on B/S Structure

2011 ◽  
Vol 328-330 ◽  
pp. 1067-1071
Author(s):  
Jia Liu ◽  
Chun Liang Zhang ◽  
Jian Li ◽  
Sen Li ◽  
Yue Hua Xiong
Keyword(s):  
Fault Diagnosis ◽  
Markov Models ◽  
Support Vector ◽  
Main Function ◽  
Test Bed ◽  
Diagnosis System ◽  
Intelligent Diagnosis ◽  
Database Technology ◽  
Fault Diagnosis System ◽  
Remote Fault Diagnosis

The feasibility and superiority of the remote fault diagnosis system based on B/S structure is analyzed in this paper. The B/S structure is introduced and compared with C/S structure briefly. The paper summarize frame and main function module of the remote fault diagnosis system and introduce its key technology, such as data acquisition technology, data transmission technology between server and client, intelligent diagnosis technology, database technology etc. The hybrid model of support vector machine (SVM) and hidden markov models(HMM) is used as a intelligent diagnosis method of the system, and a new design which could improve the integrity and privacy of the system database data is applied. According to the diagnostic results to all kinds of simulated faults in the Bently vibration test bed, it shows the system is not only stable, reliable and high accuracy, but also has a certain application value to engineering.

Research and Design of the Remote Fault Diagnosis System for Complicated Equipment Based on Intelligent IETM

2012 ◽  
Vol 490-495 ◽  
pp. 1564-1568
Author(s):  
Han Bing Sun ◽  
Zong Chang Xu ◽  
Jian Zhou
Keyword(s):  
Fault Diagnosis ◽  
Main Function ◽  
Diagnosis System ◽  
Fault Diagnosis System ◽  
Research And Design ◽  
Remote Fault Diagnosis

The significance of building the remote fault diagnosis system for complicated equipment based on intelligent IETM was analyzed. And then the concept of intelligent IETM was introduced. Finally, overall objective, main function and architecture of the system were elaborated .

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