The Application of Nonlinear Modeling in the Fault Diagnosis of Fan

2014 ◽  
Vol 926-930 ◽  
pp. 3286-3289
Author(s):  
Yao Li ◽  
Lian Pan

The fault diagnosis of the history, present situation and main trend is reviewed. Based on a comparison of the traditional remote monitoring and diagnosis system, provides the architecture of a remote monitoring and diagnosis system. The remote monitoring and fault diagnosis system architecture for two dust removal fan remote monitoring system, the related research and development of the function and fault diagnosis research of the monitoring system, through the remote monitoring and fault diagnosis system can understand two dust removal fan running status, ensure the wind machine running status in the design constraints. It is proposed based on a nonlinear autoregressive moving average model, tested the sunspot data, then the model is applied to fault diagnosis of fan, the experimental results show that, the linear model and the traditional prediction model, has the high prediction accuracy, a new method is proposed for the Metallurgic Fan Machinery Fault diagnosis.

2012 ◽  
Vol 588-589 ◽  
pp. 178-184
Author(s):  
Jie Liu ◽  
Fang Xia Hu

A networking and intelligent online monitoring and fault diagnosis system for large-scale rotating machinery is developed according to requirements of an iron & steel enterprise. On the aspect of networking, a mixed structure of C/S and B/S is adopted, and the system integrates local online monitoring and diagnosis, remote monitoring and diagnosis, and remote diagnosis center. On the aspect of intelligent diagnosis, a multi-symptom comprehensive parallel diagnosis technology is adopted based on expert system, neural network and fuzzy logic. Finally, main functional modules and its realization are introduced. Application shows that the system runs normally, and the expected objective is achieved.


2014 ◽  
Vol 530-531 ◽  
pp. 301-305
Author(s):  
Huan Huan Nie ◽  
Zhen Lu Wu ◽  
Guo Yan Yu

The frame structure of monitoring system is introduced and the network structure of monitoring system is analyzed in this paper. Fault diagnosis expert system is put forward and the fault inference rules are elaborated according to the fault of natural gas compressor of a company. The significance of the system is summarized in the end.


2013 ◽  
Vol 589-590 ◽  
pp. 746-751
Author(s):  
Cong Guo Ma ◽  
Jian Guo Wang ◽  
Ya Zhou Li

This paper presents the design scheme of monitoring management and fault diagnosis of open CNC system based on Internet, the system hardware structure introduces network technology three-tier monitoring mode based on field control layer and process monitoring control layer and remote fault diagnosis layer, the system software design includes CNC system management and monitoring and fault diagnosis. The paper integrates condition monitoring and fault diagnosis and expert system technology into CNC system monitoring and management, and analyzes the requirements of distributed numerical control system, and details description system model of remote monitoring and fault diagnosis system. The practice has proved that the system design of open remote monitoring and fault diagnosis is practicality and feasibility.


2013 ◽  
Vol 871 ◽  
pp. 342-346
Author(s):  
Jie Chen ◽  
Ke Ren Zhang ◽  
Wei Guo Zhu ◽  
Ya Wang ◽  
Jing Zhao

The coil is the important part of a motor. The traditional monitoring system of the coil can only act when a fault was found. A new fault diagnosis system in motor coil is discussed in the paper. We had built coil fault knowledge base by using data fusion. We had predicted and diagnosed the causes of coil fault quickly by inference rules.


2006 ◽  
Vol 27 (1) ◽  
pp. 5-19 ◽  
Author(s):  
Xing Wu ◽  
Jin Chen ◽  
Ruqiang Li ◽  
Weixiang Sun ◽  
Guicai Zhang ◽  
...  

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.


2014 ◽  
Vol 912-914 ◽  
pp. 1513-1516
Author(s):  
Jun Hong Yang

In combination with the practical application of heat pump units, designed a heat pump PLC remote monitoring system based on SMS communication with GSM. The system can be monitored through the heat pump running, reduce equipment unsupervised time, to provide users with effective operational management and maintenance; While also providing an effective means of operating data and the real-time observation of optimizing the fault diagnosis of the pump and so on.


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