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Journal of Control Science and Engineering
Volume 2017, Article ID 7849841, 9 pages
Research Article

Detection of Intermittent Fault for Discrete-Time Systems with Output Dead-Zone: A Variant Tobit Kalman Filtering Approach

Department of Automation, TNList, Tsinghua University, Beijing 100084, China

Correspondence should be addressed to Xiao He; nc.ude.auhgnist@oaixeh

Received 10 September 2016; Accepted 9 January 2017; Published 7 February 2017

Academic Editor: William MacKunis

Copyright © 2017 Jie Huang and Xiao He. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper is concerned with the intermittent fault detection problem for a class of discrete-time linear systems with output dead-zone. Dead-zone phenomenon exists in many real practical systems due to the employment of low-cost commercial off-the-shelf sensors. Two Bernoulli random variables are utilized to model the dead-zone effect and a variant formation of Tobit Kalman filter is brought forward to generate a residual that can indicate the occurrence of an intermittent fault. A numerical example is presented to demonstrate the effectiveness and applicability of the proposed technique. The statistical performance of the technique is illustrated as well.