scholarly journals Fault Detection for Network Control System with Multiple Packet Loss

Author(s):  
Yuqing Li ◽  
Qun Zhang
2013 ◽  
Vol 846-847 ◽  
pp. 795-798
Author(s):  
Jiao Meng ◽  
Qi Hua Xu ◽  
Xiao Xiao

Improving network control system---NCS reliability and safety has important practical significance because NCS is a hot research subject in these years. Fault diagnosis methods are researched in this paper according to NCS with long-time delay and data packet loss. Firstly, given a NCS with long-time delay, a state observer is structured. Secondly, make the state estimation error equation equivalent to an asynchronous dynamical system having event incidence constraint according to whether the system having data packets loss. The problem of fault diagnosis is converted to filtering problem through structuring filtering residual system based on the observer, then giving a corresponding filter designing algorithm. The designed fault diagnosis filter system not only make sure the stability of the closed loop system but also make the residual systems norm less than given reduction level. Finally, the simulation results prove that the algorithm can diagnose faults effectively.


2013 ◽  
Vol 846-847 ◽  
pp. 778-781
Author(s):  
Hong Liang Guo ◽  
Shao Ying Kong

Wireless network control system is characterized by high uncertain delay time, thus the state of the system can not be fully observed. The fault characteristic is interfered by time delay so to be unstable, leading inaccurate fault detection. Traditional fault detection method of wireless network control system is usually based on the characteristics of the stability of the network status data. If the network has time delay fluctuations, it is unable to obtain accurate fault detection results. This paper presents a stochastic delay fault detection method. It builds a state space model of the system, analyzes the delay vector between the sensor end of the system and the controller end, depending on the delay residual signal of the system and the corresponding evaluation function to obtain the system failure detection result. The final simulation result shows that this method has high accuracy in the detection of Stability and randomness of the wireless network fault detection. Thus it is an effective wireless network control system fault detection method.


2013 ◽  
Vol 457-458 ◽  
pp. 788-792
Author(s):  
Guo Qing Qiu ◽  
Ming Li ◽  
Yi Long ◽  
Yong Can Yu

Automatic grouting is a very important part in the well drilling process. The stability of grouting system is one of the factors affecting the drilling accident. This paper presents a automatic grouting method based on network control system. In order to find out the influence on the control performance after using network in the system, paper sets up the system model with the simulation toolbox TrueTime-2.0 of MATLAB and separately studies the influence on the control effect by network delay and data packet loss according to the simulation result. The results prove that both the network delay and data packet loss all make great differences on the control performance of system, so we need to take appropriate strategies to reduce the influence in the actual designs.


2012 ◽  
Vol 349 (7) ◽  
pp. 2420-2430 ◽  
Author(s):  
Jianjun Bai ◽  
Hongye Su ◽  
Jinfeng Gao ◽  
Tao Sun ◽  
Zhengguang Wu

2013 ◽  
Vol 846-847 ◽  
pp. 782-785
Author(s):  
Shuang Ye

Wireless network control system has high failure rate, and is difficult to be diagnosed. Wireless network transmission signal effectively reflect the failure categories. In order to effectively detect the wireless network control system fault, this paper presents a fault detection method of correlation dimensional nonlinear timing characteristics for wireless network transmission signal, which mainly improves the traditional correlation dimension extraction algorithm. The method processes and analyzes the collected transmission signal of four types wireless network control system in fault condition, and then extract fault feature through an improved correlation dimension algorithm. It improves the calculation accuracy of the correlation dimension with a standard deviation 15% -30% than that of the traditional algorithm, and it significantly enhances the clustering distribution characteristics, reflecting its superiority in fault detection. Fault detection results show that the improved feature extraction method for correlation dimension can effectively detect failure in wireless network control system, whose accuracy is improved by 21.4%, and has great practical value.


2014 ◽  
Vol 989-994 ◽  
pp. 3382-3385
Author(s):  
Guan Qun Liu

In recent years, due to the rapid development of computer technology and the expanding of its controlling scale, people pay more and more attention to the study of network control system. Network control system is closed loop control system connecting the communication network connect sensor, controller, actuator etc. At the same time, the introduction of the communication network control system brings a lot of problems, such as data transmission delay, network packet loss and so on, which make the analysis of the network control system become very complicated. This paper analyzes background of the topic, significance and research status, and review the network control system.


Author(s):  
A. K. Kanaev ◽  
◽  
A. N. Gorbach ◽  
E. V. Oparin, ◽  
◽  
...  

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