Orthogonal series generalized likelihood ratio test for failure detection and isolation
A new failure detection and isolation algorithm for linear dynamic systems is presented. This algorithm, the Orthogonal Series Generalized Likelihood Ratio (OSGLR) test, is based on the assumption that the failure modes of interest can be represented by truncated series expansions. This assumption l...
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| Veröffentlicht in: | Journal of guidance, control, and dynamics control, and dynamics, 1990-11, Vol.13 (6), p.1064-1074 |
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| container_end_page | 1074 |
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| container_issue | 6 |
| container_start_page | 1064 |
| container_title | Journal of guidance, control, and dynamics |
| container_volume | 13 |
| creator | HALL, STEVEN R. WALKER, BRUCE K. |
| description | A new failure detection and isolation algorithm for linear dynamic systems is presented. This algorithm, the Orthogonal Series Generalized Likelihood Ratio (OSGLR) test, is based on the assumption that the failure modes of interest can be represented by truncated series expansions. This assumption leads to a failure detection algorithm with several desirable properties. Computer simulation results are presented for the detection of the failures of actuators and sensors of a C-130 aircraft. The results show that the OSGLR test generally performs as well as the GLR test in terms of time to detect a failure and is more robust to failure mode uncertainty. However, the OSGLR test is also somewhat more sensitive to modeling errors than the GLR test. |
| doi_str_mv | 10.2514/3.20580 |
| format | Article |
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This algorithm, the Orthogonal Series Generalized Likelihood Ratio (OSGLR) test, is based on the assumption that the failure modes of interest can be represented by truncated series expansions. This assumption leads to a failure detection algorithm with several desirable properties. Computer simulation results are presented for the detection of the failures of actuators and sensors of a C-130 aircraft. The results show that the OSGLR test generally performs as well as the GLR test in terms of time to detect a failure and is more robust to failure mode uncertainty. 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This algorithm, the Orthogonal Series Generalized Likelihood Ratio (OSGLR) test, is based on the assumption that the failure modes of interest can be represented by truncated series expansions. This assumption leads to a failure detection algorithm with several desirable properties. Computer simulation results are presented for the detection of the failures of actuators and sensors of a C-130 aircraft. The results show that the OSGLR test generally performs as well as the GLR test in terms of time to detect a failure and is more robust to failure mode uncertainty. However, the OSGLR test is also somewhat more sensitive to modeling errors than the GLR test.</description><subject>Aeronautics</subject><subject>Aircraft</subject><subject>Aircraft Design, Testing And Performance</subject><subject>Algorithms</subject><subject>Computer simulation</subject><subject>Failure</subject><subject>Failure detection</subject><subject>Hypotheses</subject><subject>Kalman filters</subject><subject>Likelihood ratio</subject><subject>System theory</subject><issn>0731-5090</issn><issn>1533-3884</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1990</creationdate><recordtype>article</recordtype><sourceid>CYI</sourceid><recordid>eNptkEtLAzEUhYMoWKv4B1wEFMTF1DzmlaUUX1DoRnEZMpObNjVOapIB9dc7tQUXurpczse55x6ETimZsILm13zCSFGTPTSiBecZr-t8H41IxWlWEEEO0VGMK0IoL2k1Qi_zkJZ-4TvlcIRgIeIFdBCUs1-gsbOv4OzSe42DStbjBDFh4wM2yro-ANaQoB2UDqtOYxu923DdMTowykU42c0xer67fZo-ZLP5_eP0ZpYpJqqUidoAz3MxxFMN1axloigEaJqXzbArzUjZNgxy3nLdGkZaXpJGKGqoqBto-Bidb33Xwb_3Qzi58n0YvomSccorQXMiBupyS7XBxxjAyHWwbyp8SkrkpjXJ5U9rA3m2JTsVlexSiJIKQQkZUpKNfLGVlVXq99Rfl6v_sJ0s19pI0zuX4CPxb1OVgd8</recordid><startdate>19901101</startdate><enddate>19901101</enddate><creator>HALL, STEVEN R.</creator><creator>WALKER, BRUCE K.</creator><general>American Institute of Aeronautics and Astronautics</general><scope>CYE</scope><scope>CYI</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>19901101</creationdate><title>Orthogonal series generalized likelihood ratio test for failure detection and isolation</title><author>HALL, STEVEN R. ; WALKER, BRUCE K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a297t-98fe3449073ab1d2c29559ed146bb1dad206cb2e43c3dcf20c360b9a1f198beb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1990</creationdate><topic>Aeronautics</topic><topic>Aircraft</topic><topic>Aircraft Design, Testing And Performance</topic><topic>Algorithms</topic><topic>Computer simulation</topic><topic>Failure</topic><topic>Failure detection</topic><topic>Hypotheses</topic><topic>Kalman filters</topic><topic>Likelihood ratio</topic><topic>System theory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>HALL, STEVEN R.</creatorcontrib><creatorcontrib>WALKER, BRUCE K.</creatorcontrib><collection>NASA Scientific and Technical Information</collection><collection>NASA Technical Reports Server</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace 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><jtitle>Journal of guidance, control, and dynamics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>HALL, STEVEN R.</au><au>WALKER, BRUCE K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Orthogonal series generalized likelihood ratio test for failure detection and isolation</atitle><jtitle>Journal of guidance, control, and dynamics</jtitle><date>1990-11-01</date><risdate>1990</risdate><volume>13</volume><issue>6</issue><spage>1064</spage><epage>1074</epage><pages>1064-1074</pages><issn>0731-5090</issn><eissn>1533-3884</eissn><abstract>A new failure detection and isolation algorithm for linear dynamic systems is presented. 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| fulltext | fulltext |
| identifier | ISSN: 0731-5090 |
| ispartof | Journal of guidance, control, and dynamics, 1990-11, Vol.13 (6), p.1064-1074 |
| issn | 0731-5090 1533-3884 |
| language | eng |
| recordid | cdi_crossref_primary_10_2514_3_20580 |
| source | NASA Technical Reports Server; Alma/SFX Local Collection |
| subjects | Aeronautics Aircraft Aircraft Design, Testing And Performance Algorithms Computer simulation Failure Failure detection Hypotheses Kalman filters Likelihood ratio System theory |
| title | Orthogonal series generalized likelihood ratio test for failure detection and isolation |
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