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

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 u...

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Main Authors: Jie Huang, Xiao He
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:Journal of Control Science and Engineering
Online Access:http://dx.doi.org/10.1155/2017/7849841
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author Jie Huang
Xiao He
author_facet Jie Huang
Xiao He
author_sort Jie Huang
collection DOAJ
description 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.
format Article
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institution Kabale University
issn 1687-5249
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publishDate 2017-01-01
publisher Wiley
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series Journal of Control Science and Engineering
spelling doaj-art-f586d2701a974c0a8c982bf5f30831932025-02-03T05:57:27ZengWileyJournal of Control Science and Engineering1687-52491687-52572017-01-01201710.1155/2017/78498417849841Detection of Intermittent Fault for Discrete-Time Systems with Output Dead-Zone: A Variant Tobit Kalman Filtering ApproachJie Huang0Xiao He1Department of Automation, TNList, Tsinghua University, Beijing 100084, ChinaDepartment of Automation, TNList, Tsinghua University, Beijing 100084, ChinaThis 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.http://dx.doi.org/10.1155/2017/7849841
spellingShingle Jie Huang
Xiao He
Detection of Intermittent Fault for Discrete-Time Systems with Output Dead-Zone: A Variant Tobit Kalman Filtering Approach
Journal of Control Science and Engineering
title Detection of Intermittent Fault for Discrete-Time Systems with Output Dead-Zone: A Variant Tobit Kalman Filtering Approach
title_full Detection of Intermittent Fault for Discrete-Time Systems with Output Dead-Zone: A Variant Tobit Kalman Filtering Approach
title_fullStr Detection of Intermittent Fault for Discrete-Time Systems with Output Dead-Zone: A Variant Tobit Kalman Filtering Approach
title_full_unstemmed Detection of Intermittent Fault for Discrete-Time Systems with Output Dead-Zone: A Variant Tobit Kalman Filtering Approach
title_short Detection of Intermittent Fault for Discrete-Time Systems with Output Dead-Zone: A Variant Tobit Kalman Filtering Approach
title_sort detection of intermittent fault for discrete time systems with output dead zone a variant tobit kalman filtering approach
url http://dx.doi.org/10.1155/2017/7849841
work_keys_str_mv AT jiehuang detectionofintermittentfaultfordiscretetimesystemswithoutputdeadzoneavarianttobitkalmanfilteringapproach
AT xiaohe detectionofintermittentfaultfordiscretetimesystemswithoutputdeadzoneavarianttobitkalmanfilteringapproach