Signal interpretation for monitoring and diagnosis, a cooling system testbed

This paper discusses our method for monitoring and diagnosis of dynamic systems. A key aspect in our approach is the interaction between a qualitative diagnosis engine that requires symbolic input data and a monitoring component that performs a signal to symbol transformation on the observed signals...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Manders, E.J., Biswas, G., Mosterman, P.J., Barford, L., Ram, V., Barnett, J.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 503 vol.1
container_issue
container_start_page 498
container_title
container_volume 1
creator Manders, E.J.
Biswas, G.
Mosterman, P.J.
Barford, L.
Ram, V.
Barnett, J.
description This paper discusses our method for monitoring and diagnosis of dynamic systems. A key aspect in our approach is the interaction between a qualitative diagnosis engine that requires symbolic input data and a monitoring component that performs a signal to symbol transformation on the observed signals. We have applied the methodology to the cooling system of an automobile engine on which we have installed thermocouples and pressure sensors. Faults can be introduced into the cooling system in a controlled manner. We show that a combination of linear approximation techniques and statistical signal processing can provide robust symbolic signal values for the diagnosis algorithm.
doi_str_mv 10.1109/IMTC.1999.776801
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_776801</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>776801</ieee_id><sourcerecordid>776801</sourcerecordid><originalsourceid>FETCH-LOGICAL-i104t-2221dfa7802dc10fd92fc81242c7e236387a4f67d8f6cca9fa1272b24a9e6af63</originalsourceid><addsrcrecordid>eNotT01rwzAUM2yDla73sZN_wJL5vSR2fBxhH4WOHdady2tsB4_ELrEv_ffL6IRABwkhMXYPogQQ-mn7se9K0FqXSslWwBXbaNWKhVWDSsprtlpiUDTYwi3bpPQjFjRCCYAV2335IdDIfch2Ps02U_YxcBdnPsXgc5x9GDgFw42nIcTk0yMn3sc4_hnpnLKdeLYpH625YzeOxmQ3_7pm368v--692H2-bbvnXeFB1LlARDCOloVoehDOaHR9C1hjryxWsmoV1U4q0zrZ96QdASo8Yk3aSnKyWrOHS6-31h5Os59oPh8u96tfpFpO5w</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Signal interpretation for monitoring and diagnosis, a cooling system testbed</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Manders, E.J. ; Biswas, G. ; Mosterman, P.J. ; Barford, L. ; Ram, V. ; Barnett, J.</creator><creatorcontrib>Manders, E.J. ; Biswas, G. ; Mosterman, P.J. ; Barford, L. ; Ram, V. ; Barnett, J.</creatorcontrib><description>This paper discusses our method for monitoring and diagnosis of dynamic systems. A key aspect in our approach is the interaction between a qualitative diagnosis engine that requires symbolic input data and a monitoring component that performs a signal to symbol transformation on the observed signals. We have applied the methodology to the cooling system of an automobile engine on which we have installed thermocouples and pressure sensors. Faults can be introduced into the cooling system in a controlled manner. We show that a combination of linear approximation techniques and statistical signal processing can provide robust symbolic signal values for the diagnosis algorithm.</description><identifier>ISSN: 1091-5281</identifier><identifier>ISBN: 9780780352766</identifier><identifier>ISBN: 0780352769</identifier><identifier>DOI: 10.1109/IMTC.1999.776801</identifier><language>eng</language><publisher>IEEE</publisher><subject>Automobiles ; Control systems ; Cooling ; Engines ; Monitoring ; Sensor systems ; Signal processing algorithms ; Temperature control ; Thermal sensors ; Vehicle dynamics</subject><ispartof>IMTC/99. Proceedings of the 16th IEEE Instrumentation and Measurement Technology Conference (Cat. No.99CH36309), 1999, Vol.1, p.498-503 vol.1</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/776801$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,778,782,787,788,2054,4038,4039,27912,54907</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/776801$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Manders, E.J.</creatorcontrib><creatorcontrib>Biswas, G.</creatorcontrib><creatorcontrib>Mosterman, P.J.</creatorcontrib><creatorcontrib>Barford, L.</creatorcontrib><creatorcontrib>Ram, V.</creatorcontrib><creatorcontrib>Barnett, J.</creatorcontrib><title>Signal interpretation for monitoring and diagnosis, a cooling system testbed</title><title>IMTC/99. Proceedings of the 16th IEEE Instrumentation and Measurement Technology Conference (Cat. No.99CH36309)</title><addtitle>IMTC</addtitle><description>This paper discusses our method for monitoring and diagnosis of dynamic systems. A key aspect in our approach is the interaction between a qualitative diagnosis engine that requires symbolic input data and a monitoring component that performs a signal to symbol transformation on the observed signals. We have applied the methodology to the cooling system of an automobile engine on which we have installed thermocouples and pressure sensors. Faults can be introduced into the cooling system in a controlled manner. We show that a combination of linear approximation techniques and statistical signal processing can provide robust symbolic signal values for the diagnosis algorithm.</description><subject>Automobiles</subject><subject>Control systems</subject><subject>Cooling</subject><subject>Engines</subject><subject>Monitoring</subject><subject>Sensor systems</subject><subject>Signal processing algorithms</subject><subject>Temperature control</subject><subject>Thermal sensors</subject><subject>Vehicle dynamics</subject><issn>1091-5281</issn><isbn>9780780352766</isbn><isbn>0780352769</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1999</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotT01rwzAUM2yDla73sZN_wJL5vSR2fBxhH4WOHdady2tsB4_ELrEv_ffL6IRABwkhMXYPogQQ-mn7se9K0FqXSslWwBXbaNWKhVWDSsprtlpiUDTYwi3bpPQjFjRCCYAV2335IdDIfch2Ps02U_YxcBdnPsXgc5x9GDgFw42nIcTk0yMn3sc4_hnpnLKdeLYpH625YzeOxmQ3_7pm368v--692H2-bbvnXeFB1LlARDCOloVoehDOaHR9C1hjryxWsmoV1U4q0zrZ96QdASo8Yk3aSnKyWrOHS6-31h5Os59oPh8u96tfpFpO5w</recordid><startdate>1999</startdate><enddate>1999</enddate><creator>Manders, E.J.</creator><creator>Biswas, G.</creator><creator>Mosterman, P.J.</creator><creator>Barford, L.</creator><creator>Ram, V.</creator><creator>Barnett, J.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>1999</creationdate><title>Signal interpretation for monitoring and diagnosis, a cooling system testbed</title><author>Manders, E.J. ; Biswas, G. ; Mosterman, P.J. ; Barford, L. ; Ram, V. ; Barnett, J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i104t-2221dfa7802dc10fd92fc81242c7e236387a4f67d8f6cca9fa1272b24a9e6af63</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Automobiles</topic><topic>Control systems</topic><topic>Cooling</topic><topic>Engines</topic><topic>Monitoring</topic><topic>Sensor systems</topic><topic>Signal processing algorithms</topic><topic>Temperature control</topic><topic>Thermal sensors</topic><topic>Vehicle dynamics</topic><toplevel>online_resources</toplevel><creatorcontrib>Manders, E.J.</creatorcontrib><creatorcontrib>Biswas, G.</creatorcontrib><creatorcontrib>Mosterman, P.J.</creatorcontrib><creatorcontrib>Barford, L.</creatorcontrib><creatorcontrib>Ram, V.</creatorcontrib><creatorcontrib>Barnett, J.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Manders, E.J.</au><au>Biswas, G.</au><au>Mosterman, P.J.</au><au>Barford, L.</au><au>Ram, V.</au><au>Barnett, J.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Signal interpretation for monitoring and diagnosis, a cooling system testbed</atitle><btitle>IMTC/99. Proceedings of the 16th IEEE Instrumentation and Measurement Technology Conference (Cat. No.99CH36309)</btitle><stitle>IMTC</stitle><date>1999</date><risdate>1999</risdate><volume>1</volume><spage>498</spage><epage>503 vol.1</epage><pages>498-503 vol.1</pages><issn>1091-5281</issn><isbn>9780780352766</isbn><isbn>0780352769</isbn><abstract>This paper discusses our method for monitoring and diagnosis of dynamic systems. A key aspect in our approach is the interaction between a qualitative diagnosis engine that requires symbolic input data and a monitoring component that performs a signal to symbol transformation on the observed signals. We have applied the methodology to the cooling system of an automobile engine on which we have installed thermocouples and pressure sensors. Faults can be introduced into the cooling system in a controlled manner. We show that a combination of linear approximation techniques and statistical signal processing can provide robust symbolic signal values for the diagnosis algorithm.</abstract><pub>IEEE</pub><doi>10.1109/IMTC.1999.776801</doi></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 1091-5281
ispartof IMTC/99. Proceedings of the 16th IEEE Instrumentation and Measurement Technology Conference (Cat. No.99CH36309), 1999, Vol.1, p.498-503 vol.1
issn 1091-5281
language eng
recordid cdi_ieee_primary_776801
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Automobiles
Control systems
Cooling
Engines
Monitoring
Sensor systems
Signal processing algorithms
Temperature control
Thermal sensors
Vehicle dynamics
title Signal interpretation for monitoring and diagnosis, a cooling system testbed
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-16T02%3A28%3A43IST&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=Signal%20interpretation%20for%20monitoring%20and%20diagnosis,%20a%20cooling%20system%20testbed&rft.btitle=IMTC/99.%20Proceedings%20of%20the%2016th%20IEEE%20Instrumentation%20and%20Measurement%20Technology%20Conference%20(Cat.%20No.99CH36309)&rft.au=Manders,%20E.J.&rft.date=1999&rft.volume=1&rft.spage=498&rft.epage=503%20vol.1&rft.pages=498-503%20vol.1&rft.issn=1091-5281&rft.isbn=9780780352766&rft.isbn_list=0780352769&rft_id=info:doi/10.1109/IMTC.1999.776801&rft_dat=%3Cieee_6IE%3E776801%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=776801&rfr_iscdi=true