Simulation of Fault Detection in the Wireless Networked Control System

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Abstract:

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.

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Periodical:

Advanced Materials Research (Volumes 846-847)

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778-781

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Online since:

November 2013

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] L. Paradis and Q. Han, A Survey of Fault Management in Wireless Sensor Networks" Journal of Network and Systems Management, vol. 15, no. 2, PP. 170-190, June, (2007).

Google Scholar

[2] M. Yu,H. Mokhtar, and M. Merabti, A Survey on Fault Management in Wireless Sensor Networks. In Proc. of Annual PostGraduateSymposium on the Convergence of Telecommunications, Networking and Broadcasting (PGNet), June, (2007).

Google Scholar

[3] ZHANG Wei, LIU Xiaoyuan, QI Ruolong, Jiang Yong, Improved Locally Linear Embedding Based Method for Nonlinear System Fault Detection, IJACT, Vol. 5, No. 1, p.515 ~ 523, (2013).

DOI: 10.4156/ijact.vol5.issue1.56

Google Scholar

[4] Tao Tao, Xu Hongze, Fuzzy Predictive Model Based High Speed Train Fault Tolerant Control Method, JDCTA, Vol. 7, No. 2, p.583 ~ 590, (2013).

DOI: 10.4156/jdcta.vol7.issue2.71

Google Scholar

[5] Zhang Yan, Zhong Weiliang, Online Fault Detection Method for Steel Cord Conveyor Belt Using the Regularity Band, JDCTA, Vol. 7, No. 5, p.764 ~ 772, (2013).

DOI: 10.4156/jdcta.vol7.issue5.89

Google Scholar

[6] Chen Hua, The study on the Fault Detection Technique based on the Water Level Sensor network, JCIT, Vol. 8, No. 5, p.762 ~ 770, (2013).

Google Scholar