Research on Fault Diagnosis System of Heat Pipe Network

2012 ◽  
Vol 193-194 ◽  
pp. 619-623
Author(s):  
Yu Kun Lv ◽  
Hai Feng Liu ◽  
Shuai Chang ◽  
Bao Jun Song ◽  
Kai Zhao

The urban heat pipe network fault diagnosis system was designed in this paper so as to realize the automation diagnosis. The paper uses the simulation calculation method and the heat pipe network fault diagnosis system to analyze and study an urban heat pipe network leak fault. The diagnosis results of the heat pipe network fault diagnosis system are almost the same to that of the simulation calculation method. Moreover, the system can accurately locate the leak point and the positioning accuracy is 5%. Thus the heat pipe network fault diagnosis system which is designed has a certain practical value.

2012 ◽  
Vol 550-553 ◽  
pp. 3155-3159
Author(s):  
Yu Kun Lv ◽  
Hai Feng Liu ◽  
Bao Jun Song ◽  
Kai Zhao

The urban heat pipe network fault diagnosis was studied in this paper. According to differential equations and boundary conditions, the author deduces the function relations between pressure and flow in unsteady flow. On the base of above investigations, a heat pipe network leak pipeline diagnosis method and a leak positioning method are proposed here, the pipeline alarm valve ε0 and the leak alarm valve εF are designed. We can judge whether heat pipe network leaks or not through the law of flow conservation, and search out the leak pipeline by judging the size relation of pressure drop, ε1 and ε0, before and after pipeline leaks. It then locates the leak point by judging the size relation of ε2 and εF before and after the pipeline leaks. Moreover, the location accuracy is 5%.


2021 ◽  
Vol 2136 (1) ◽  
pp. 012065
Author(s):  
Lu Cao ◽  
Baosheng Wang

Abstract As the network becomes more and more complex and heterogeneous, the problem of network management becomes more and more prominent. The research and application of network management is of great significance for ensuring the normal operation of network and improving the reliability and availability of network system. The main problems of network management are network configuration, failure, performance, security, planning and scaling, etc. On the basis of in-depth research and discussion on network management and fault management, this paper designs the system requirements of network fault diagnosis system.


2011 ◽  
Vol 308-310 ◽  
pp. 1353-1356
Author(s):  
Ren Xuan Fu ◽  
Yan Du

Based on existing pipe network monitoring system and start with the concept of The Internet of Things[1], the remote monitoring and fault diagnosis system is designed.It can make the fault diagnosis expert experiences shareable, raise user ability, reduce the system maintenance costs,and improve the management level as well.


2012 ◽  
Vol 229-231 ◽  
pp. 1158-1161
Author(s):  
Yu Huang Zheng

Vacuum circuit breaker becomes more and more complicated, integrated, high-speed and intellectualized. To insure vacuum circuit breaker in its good conditions, the function of fault diagnosis gets more important than before in the process of repairing. This paper designed and developed a network fault diagnosis system based on PROFINET and B/S (Browser/Server) frame through the analysis of the need of fault diagnosis. Taking good use of testing information and diagnosis rules, the system realized open and distributed diagnosing process, and provided a flat of sharing information, which is the technique basis of combining testing and diagnosing. During design, we use Kingview as developing software. It is proved in LAN that the system can utilize present diagnosis rules in database to diagnose fault distributed.


2012 ◽  
Vol 229-231 ◽  
pp. 2229-2232 ◽  
Author(s):  
Mao Yao Ao ◽  
Yan Zhao

The main research contents as well as the research status and results in fault diagnosis system for CNC Machine are reviewed, analyzed and summarized, based on the analysis of domestic and foreign literature in the field of fault diagnosis system for CNC Machine. It briefly analyzes the characteristic and applicability of Expert System, Neural Network, Fault Tree Analysis, Fuzzy Set Theory and Multi-Agent System, and points out the key technical problems which is needed to be solved in this field. Then it views the future development, and points that the fault diagnosis of integrated intelligence and remote network is the research and development trend of diagnosis system for CNC Machine.


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