Remote Monitoring and Intelligent Fault Diagnosis Technology Research Based on Open CNC System

2013 ◽  
Vol 819 ◽  
pp. 234-237
Author(s):  
Zhi Li Lu ◽  
Shi Guang Hu ◽  
Tai Yong Wang ◽  
Dong Xiang Chen ◽  
Qing Jian Liu

In modem manufacturing,the various and complex requirement of industry makes the CNC machine tools more and more automatic and networking.While a remote monitoring and intelligent fault diagnosis system is the basic and indispensable unit for automatic and networking machine tools.This paper is focused on open CNC system,the condition monitoring, and fault diagnosis technology are researched of open CNC system. Integration achieved the CNCmachine tools' status remote monitoring and intelligent fault diagnosis, and detailed analysis of the key technologies for the components of the system. Through effectively integration of the computer technology, Fault Tree Analysis method, or other technologies to enhance the automation, networking and intelligent level of the open CNC system. Keywords: open CNC system; remote monitoring; intelligent fault diagnosis ;Fault Tree Analysis Method;

2014 ◽  
Vol 615 ◽  
pp. 113-117
Author(s):  
Jian Yun Bai ◽  
Li Peng Yan

This paper is Zhengli Coal JKMD3.5 × 4 (III) E-type floor-type multi-rope friction hoist for the study, in order to enhance the system to improve monitoring and fault diagnosis for the purpose of fuzzy fault tree analysis method as the lift system the method of fault diagnosis on hoist brake system fault tree analysis, the results of the analysis can play a guiding role in the daily repair and maintenance, thereby enhancing the safety and reliability of the hoist.


2012 ◽  
Vol 499 ◽  
pp. 482-486
Author(s):  
Zhen Zhou ◽  
Jin Biao Zhang ◽  
De Zhong Ma ◽  
Yong Qin ◽  
Bo Zhang

As a kind of important mechanical drive forms, the reliability level of gear transmission directly haves an effect on the performance of mechanical products. At present, the analysis method of main gear transmission failure is the fault tree analysis, which has several limits in describing multi-state events. Bayesian network which is very suitable to express multi-state events and uncertain logical relationships has been successfully applied to fault diagnosis field. Therefore, Bayesian network is researched in this paper in order to improve gear transmission fault tree, solve limits of the fault tree out and make the failure analysis results more objective and accurate.


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