Remote fault diagnosis system based on DSP for rolling bearing

Author(s):  
Pan Hongxia ◽  
Gao Yang
2009 ◽  
Vol 76-78 ◽  
pp. 67-71
Author(s):  
Wan Shan Wang ◽  
Tian Biao Yu

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.


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

2011 ◽  
Vol 201-203 ◽  
pp. 510-513
Author(s):  
Juan Li Li ◽  
Zhao Jian Yang

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.


2013 ◽  
Vol 443 ◽  
pp. 218-222
Author(s):  
Jing Zi Wei ◽  
Ran Zhang

This paper first of all gives an introduction to the structure of rolling bearing, development stage of fault and the main fault types; then, it makes an analysis of the common detection methods and the technologies involved in rolling bearing fault; at last, based on the emphasis on the rolling bearing on-line detection and fault diagnosis system of acoustic emission technology, it elaborates the basic principles of acoustic emission, rolling bearing fault detection and diagnosis system experiment setting. Meanwhile, it introduces modern signal processing technology into acoustic emission information feature extraction and state recognition, such as wavelet analysis and wavelet packet analysis.


2011 ◽  
Vol 328-330 ◽  
pp. 1067-1071
Author(s):  
Jia Liu ◽  
Chun Liang Zhang ◽  
Jian Li ◽  
Sen Li ◽  
Yue Hua Xiong

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.


2012 ◽  
Vol 490-495 ◽  
pp. 1564-1568
Author(s):  
Han Bing Sun ◽  
Zong Chang Xu ◽  
Jian Zhou

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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