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Sensor fusion and failure detection using virtual sensors
Fault detection has become an integral aspect of modern system design. To minimize costs, a software approach is desirable. We have designed a neural network based decentralized virtual sensor system to conduct sensor fusion and sensor failure detection. To accomplish effective fault detection, we h...
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| container_end_page | 2421 vol.4 |
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| container_start_page | 2417 |
| container_title | |
| container_volume | 4 |
| creator | Long, T.W. Hanzevack, E.L. Bynum, W.L. |
| description | Fault detection has become an integral aspect of modern system design. To minimize costs, a software approach is desirable. We have designed a neural network based decentralized virtual sensor system to conduct sensor fusion and sensor failure detection. To accomplish effective fault detection, we have conceived an innovative row-wise and column-wise checking procedure that is able to detect all sensor faults while minimizing false alarms. Another measure that reduces the damage of false alarms is the addition of a sensor reinstatement procedure. This allows us to further tighten the decision threshold to prevent missed detection without compromising the goal of false alarm deterrence. We have demonstrated this virtual sensor system using a vibrating beam structure. The system has been shown to be very robust, giving a 100% detection rate in all experiments. This virtual sensor concept can be applied to large structures, such as a space platform, where robustness and autonomous reconfiguration is essential. |
| doi_str_mv | 10.1109/ACC.1999.786481 |
| format | conference_proceeding |
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This virtual sensor concept can be applied to large structures, such as a space platform, where robustness and autonomous reconfiguration is essential.</description><subject>Costs</subject><subject>Educational institutions</subject><subject>Fault detection</subject><subject>Frequency</subject><subject>Hardware</subject><subject>Neural networks</subject><subject>Robustness</subject><subject>Sensor fusion</subject><subject>Sensor phenomena and characterization</subject><subject>Sensor systems</subject><issn>0743-1619</issn><issn>2378-5861</issn><isbn>9780780349902</isbn><isbn>0780349903</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1999</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotkE1LxDAQhoMfYF33LHjqyVvrTJPm47gUV4UFD-q5pO1EIt12TVrBf291hYEX5n2eOQxj1wg5Ipi7TVXlaIzJlZZC4wlLCq50VmqJp2xtlIZluDAGijOWgBI8Q4nmgl3G-AGwqBISZl5oiGNI3Rz9OKR26FJnfT8HSjuaqJ1-t0s3vKdfPkyz7dP4Z8Qrdu5sH2n9nyv2tr1_rR6z3fPDU7XZZR5RT5klaiTKApTTGgyQBddyVbqmEwJt45TD1qEE68qy0a3QBm2hHYcCStUhX7Hb491DGD9nilO997GlvrcDjXOsC4VCLOwC3hxBT0T1Ifi9Dd_18Tv8BxDWVhY</recordid><startdate>1999</startdate><enddate>1999</enddate><creator>Long, T.W.</creator><creator>Hanzevack, E.L.</creator><creator>Bynum, W.L.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>1999</creationdate><title>Sensor fusion and failure detection using virtual sensors</title><author>Long, T.W. ; Hanzevack, E.L. ; Bynum, W.L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i118t-aeeb616207f88090ea0fc375fbd441abf7f1cf160af55b8c4891a28f302057d13</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Costs</topic><topic>Educational institutions</topic><topic>Fault detection</topic><topic>Frequency</topic><topic>Hardware</topic><topic>Neural networks</topic><topic>Robustness</topic><topic>Sensor fusion</topic><topic>Sensor phenomena and characterization</topic><topic>Sensor systems</topic><toplevel>online_resources</toplevel><creatorcontrib>Long, T.W.</creatorcontrib><creatorcontrib>Hanzevack, E.L.</creatorcontrib><creatorcontrib>Bynum, W.L.</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>IEL</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Long, T.W.</au><au>Hanzevack, E.L.</au><au>Bynum, W.L.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Sensor fusion and failure detection using virtual sensors</atitle><btitle>Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251)</btitle><stitle>ACC</stitle><date>1999</date><risdate>1999</risdate><volume>4</volume><spage>2417</spage><epage>2421 vol.4</epage><pages>2417-2421 vol.4</pages><issn>0743-1619</issn><eissn>2378-5861</eissn><isbn>9780780349902</isbn><isbn>0780349903</isbn><abstract>Fault detection has become an integral aspect of modern system design. To minimize costs, a software approach is desirable. We have designed a neural network based decentralized virtual sensor system to conduct sensor fusion and sensor failure detection. To accomplish effective fault detection, we have conceived an innovative row-wise and column-wise checking procedure that is able to detect all sensor faults while minimizing false alarms. Another measure that reduces the damage of false alarms is the addition of a sensor reinstatement procedure. This allows us to further tighten the decision threshold to prevent missed detection without compromising the goal of false alarm deterrence. 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| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 0743-1619 |
| ispartof | Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251), 1999, Vol.4, p.2417-2421 vol.4 |
| issn | 0743-1619 2378-5861 |
| language | eng |
| recordid | cdi_ieee_primary_786481 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Costs Educational institutions Fault detection Frequency Hardware Neural networks Robustness Sensor fusion Sensor phenomena and characterization Sensor systems |
| title | Sensor fusion and failure detection using virtual sensors |
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