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
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 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.


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 .


2013 ◽  
Vol 819 ◽  
pp. 136-139
Author(s):  
Lu Yang Jing ◽  
Tai Yong Wang ◽  
Dong Xiang Chen ◽  
Jing Xiang Fang

With the development of network technology and fault diagnosis technology, monitoring and diagnosis methods for the CNC machine tools had a great change. In this paper, an online monitoring and remote diagnosis system for CNC machine tools was built. The system was consisted of the multi-channel online acquisition system and remote fault diagnosis system. The online acquisition system achieved a real-time monitoring for CNC machine tools. The remote fault diagnosis system provided the management of devices and assistant for experts to analyze data which was uploaded from acquisition system. The system offered real-time state information of CNC machine tools and reduced downtime of machine effectively.


Author(s):  
Chengqing Yuan ◽  
Xinping Yan ◽  
Zhixiong Li ◽  
Yuelei Zhang ◽  
Chenxing Sheng ◽  
...  

Marine power machinery parts are key equipments in ships. Ships always work in rigorous conditions such as offshore, heavy load, et cetera. Therefore, the failures in marine power machinery would badly threaten the safety of voyages. Keeping marine power machineries running reliably is the guarantee of voyage safety. For the condition monitoring and fault diagnosis of marine power machinery system, this study established the systemic condition identification approach for the tribo-system of marine power machinery and developed integrated diagnosis method by combining on-line and off-line ways for marine power machinery. Lastly, the remote fault diagnosis system was developed for practical application in marine power machinery, which consists of monitoring system in the ship, diagnosis system in laboratory centre, and maintenance management & maintenance decision support system.


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