Fault detection based on distributed redundant sensors

This paper deals with the fault detection problem for a class of discrete-time networked systems with distributed redundant sensors and multiple packet dropouts. Due to higher safety, reliability and lifetime requirements, the selective sensors are arranged at each switching time to measure output a...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Rongyi Yan, Maoyin Chen
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 4100
container_issue
container_start_page 4095
container_title
container_volume
creator Rongyi Yan
Maoyin Chen
description This paper deals with the fault detection problem for a class of discrete-time networked systems with distributed redundant sensors and multiple packet dropouts. Due to higher safety, reliability and lifetime requirements, the selective sensors are arranged at each switching time to measure output and packets from the chosen groups of sensors drop stochastically at different missing rates during transmission. A robust fault detection filter is designed to make errors between the residuals and the fault signals as small as possible under arbitrary switching laws. By using a switched Lyapunov function approach, the stability of the desired fault detection filter is verified and the parameters are derived by solving a set of linear matrix inequalities. A simulation example is provided to demonstrate the effectiveness of the proposed method.
doi_str_mv 10.1109/CCDC.2013.6561668
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6561668</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6561668</ieee_id><sourcerecordid>6561668</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-115751cc9d7386af5bde866025dad417158dea909fd637b35ef69174734d298c3</originalsourceid><addsrcrecordid>eNpVkM1KxDAUheMfOIx9AHHTF2jNbZKbZCnVUWHAja6HtPcWImNHmnTh21twEGZ1zuGDb3GEuAVZA0h_37aPbd1IUDUaBER3JgpvHWi0yhjVNOdiBV67ymttL06Y8pf_TPlrUaT0KaVctOikXAnchHmfS-LMfY6HsexCYiqXQjHlKXZzXubENI8UxlwmHtNhSjfiagj7xMUx1-Jj8_TevlTbt-fX9mFbRbAmVwDGGuh7T1Y5DIPpiB2ibAwF0mDBOOLgpR8Ile2U4QE9WG2Vpsa7Xq3F3Z83MvPue4pfYfrZHV9Qv1NISv0</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Fault detection based on distributed redundant sensors</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Rongyi Yan ; Maoyin Chen</creator><creatorcontrib>Rongyi Yan ; Maoyin Chen</creatorcontrib><description>This paper deals with the fault detection problem for a class of discrete-time networked systems with distributed redundant sensors and multiple packet dropouts. Due to higher safety, reliability and lifetime requirements, the selective sensors are arranged at each switching time to measure output and packets from the chosen groups of sensors drop stochastically at different missing rates during transmission. A robust fault detection filter is designed to make errors between the residuals and the fault signals as small as possible under arbitrary switching laws. By using a switched Lyapunov function approach, the stability of the desired fault detection filter is verified and the parameters are derived by solving a set of linear matrix inequalities. A simulation example is provided to demonstrate the effectiveness of the proposed method.</description><identifier>ISSN: 1948-9439</identifier><identifier>ISBN: 9781467355339</identifier><identifier>ISBN: 146735533X</identifier><identifier>EISSN: 1948-9447</identifier><identifier>EISBN: 9781467355322</identifier><identifier>EISBN: 9781467355346</identifier><identifier>EISBN: 1467355321</identifier><identifier>EISBN: 1467355348</identifier><identifier>DOI: 10.1109/CCDC.2013.6561668</identifier><language>eng</language><publisher>IEEE</publisher><subject>Distributed Redundant Sensors ; Fault detection ; Fault Detection and Isolation (FDI) ; Multiple Packet Dropouts ; Networked Systems ; Robustness ; Sensor systems ; Switches ; Symmetric matrices</subject><ispartof>2013 25th Chinese Control and Decision Conference (CCDC), 2013, p.4095-4100</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6561668$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6561668$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Rongyi Yan</creatorcontrib><creatorcontrib>Maoyin Chen</creatorcontrib><title>Fault detection based on distributed redundant sensors</title><title>2013 25th Chinese Control and Decision Conference (CCDC)</title><addtitle>CCDC</addtitle><description>This paper deals with the fault detection problem for a class of discrete-time networked systems with distributed redundant sensors and multiple packet dropouts. Due to higher safety, reliability and lifetime requirements, the selective sensors are arranged at each switching time to measure output and packets from the chosen groups of sensors drop stochastically at different missing rates during transmission. A robust fault detection filter is designed to make errors between the residuals and the fault signals as small as possible under arbitrary switching laws. By using a switched Lyapunov function approach, the stability of the desired fault detection filter is verified and the parameters are derived by solving a set of linear matrix inequalities. A simulation example is provided to demonstrate the effectiveness of the proposed method.</description><subject>Distributed Redundant Sensors</subject><subject>Fault detection</subject><subject>Fault Detection and Isolation (FDI)</subject><subject>Multiple Packet Dropouts</subject><subject>Networked Systems</subject><subject>Robustness</subject><subject>Sensor systems</subject><subject>Switches</subject><subject>Symmetric matrices</subject><issn>1948-9439</issn><issn>1948-9447</issn><isbn>9781467355339</isbn><isbn>146735533X</isbn><isbn>9781467355322</isbn><isbn>9781467355346</isbn><isbn>1467355321</isbn><isbn>1467355348</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkM1KxDAUheMfOIx9AHHTF2jNbZKbZCnVUWHAja6HtPcWImNHmnTh21twEGZ1zuGDb3GEuAVZA0h_37aPbd1IUDUaBER3JgpvHWi0yhjVNOdiBV67ymttL06Y8pf_TPlrUaT0KaVctOikXAnchHmfS-LMfY6HsexCYiqXQjHlKXZzXubENI8UxlwmHtNhSjfiagj7xMUx1-Jj8_TevlTbt-fX9mFbRbAmVwDGGuh7T1Y5DIPpiB2ibAwF0mDBOOLgpR8Ile2U4QE9WG2Vpsa7Xq3F3Z83MvPue4pfYfrZHV9Qv1NISv0</recordid><startdate>201305</startdate><enddate>201305</enddate><creator>Rongyi Yan</creator><creator>Maoyin Chen</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201305</creationdate><title>Fault detection based on distributed redundant sensors</title><author>Rongyi Yan ; Maoyin Chen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-115751cc9d7386af5bde866025dad417158dea909fd637b35ef69174734d298c3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Distributed Redundant Sensors</topic><topic>Fault detection</topic><topic>Fault Detection and Isolation (FDI)</topic><topic>Multiple Packet Dropouts</topic><topic>Networked Systems</topic><topic>Robustness</topic><topic>Sensor systems</topic><topic>Switches</topic><topic>Symmetric matrices</topic><toplevel>online_resources</toplevel><creatorcontrib>Rongyi Yan</creatorcontrib><creatorcontrib>Maoyin Chen</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Rongyi Yan</au><au>Maoyin Chen</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Fault detection based on distributed redundant sensors</atitle><btitle>2013 25th Chinese Control and Decision Conference (CCDC)</btitle><stitle>CCDC</stitle><date>2013-05</date><risdate>2013</risdate><spage>4095</spage><epage>4100</epage><pages>4095-4100</pages><issn>1948-9439</issn><eissn>1948-9447</eissn><isbn>9781467355339</isbn><isbn>146735533X</isbn><eisbn>9781467355322</eisbn><eisbn>9781467355346</eisbn><eisbn>1467355321</eisbn><eisbn>1467355348</eisbn><abstract>This paper deals with the fault detection problem for a class of discrete-time networked systems with distributed redundant sensors and multiple packet dropouts. Due to higher safety, reliability and lifetime requirements, the selective sensors are arranged at each switching time to measure output and packets from the chosen groups of sensors drop stochastically at different missing rates during transmission. A robust fault detection filter is designed to make errors between the residuals and the fault signals as small as possible under arbitrary switching laws. By using a switched Lyapunov function approach, the stability of the desired fault detection filter is verified and the parameters are derived by solving a set of linear matrix inequalities. A simulation example is provided to demonstrate the effectiveness of the proposed method.</abstract><pub>IEEE</pub><doi>10.1109/CCDC.2013.6561668</doi><tpages>6</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 1948-9439
ispartof 2013 25th Chinese Control and Decision Conference (CCDC), 2013, p.4095-4100
issn 1948-9439
1948-9447
language eng
recordid cdi_ieee_primary_6561668
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Distributed Redundant Sensors
Fault detection
Fault Detection and Isolation (FDI)
Multiple Packet Dropouts
Networked Systems
Robustness
Sensor systems
Switches
Symmetric matrices
title Fault detection based on distributed redundant sensors
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-20T05%3A45%3A17IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Fault%20detection%20based%20on%20distributed%20redundant%20sensors&rft.btitle=2013%2025th%20Chinese%20Control%20and%20Decision%20Conference%20(CCDC)&rft.au=Rongyi%20Yan&rft.date=2013-05&rft.spage=4095&rft.epage=4100&rft.pages=4095-4100&rft.issn=1948-9439&rft.eissn=1948-9447&rft.isbn=9781467355339&rft.isbn_list=146735533X&rft_id=info:doi/10.1109/CCDC.2013.6561668&rft_dat=%3Cieee_6IE%3E6561668%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781467355322&rft.eisbn_list=9781467355346&rft.eisbn_list=1467355321&rft.eisbn_list=1467355348&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6561668&rfr_iscdi=true