VEHICLE ANOMALOUS BEHAVIOR DETECTION
A vehicle (102, 300) includes a first system (104), a first sensor (150), a second sensor (152), and a processor (120). The first sensor (150) is configured to generate first sensor data (151) indicative of an operational status of the first system (104). The second sensor (152) is configured to gen...
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| creator | Boggio, John Sturlaugson, Liessman Schmitz, Jeffrey A Nicks, Eric L |
| description | A vehicle (102, 300) includes a first system (104), a first sensor (150), a second sensor (152), and a processor (120). The first sensor (150) is configured to generate first sensor data (151) indicative of an operational status of the first system (104). The second sensor (152) is configured to generate second sensor data (153) associated with an adaptive performance metric adjustment criterion (135). The processor (120) is configured to, in response to determining that the second sensor data (153) satisfies the adaptive performance metric adjustment criterion (135), determine, based on the second sensor data (153), an adaptive performance metric (137) to be compared to the first sensor data (151) to identify anomalous behavior of the first system (104). The processor (120) is further configured to compare the first sensor data (151) to the adaptive performance metric (137) and to generate a maintenance alert (139) in response to determining that the first sensor data (151) fails to satisfy the adaptive performance metric (137). |
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The first sensor (150) is configured to generate first sensor data (151) indicative of an operational status of the first system (104). The second sensor (152) is configured to generate second sensor data (153) associated with an adaptive performance metric adjustment criterion (135). The processor (120) is configured to, in response to determining that the second sensor data (153) satisfies the adaptive performance metric adjustment criterion (135), determine, based on the second sensor data (153), an adaptive performance metric (137) to be compared to the first sensor data (151) to identify anomalous behavior of the first system (104). The processor (120) is further configured to compare the first sensor data (151) to the adaptive performance metric (137) and to generate a maintenance alert (139) in response to determining that the first sensor data (151) fails to satisfy the adaptive performance metric (137).</description><language>eng ; fre ; ger</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2019</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20191002&DB=EPODOC&CC=EP&NR=3547228A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20191002&DB=EPODOC&CC=EP&NR=3547228A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Boggio, John</creatorcontrib><creatorcontrib>Sturlaugson, Liessman</creatorcontrib><creatorcontrib>Schmitz, Jeffrey A</creatorcontrib><creatorcontrib>Nicks, Eric L</creatorcontrib><title>VEHICLE ANOMALOUS BEHAVIOR DETECTION</title><description>A vehicle (102, 300) includes a first system (104), a first sensor (150), a second sensor (152), and a processor (120). The first sensor (150) is configured to generate first sensor data (151) indicative of an operational status of the first system (104). The second sensor (152) is configured to generate second sensor data (153) associated with an adaptive performance metric adjustment criterion (135). The processor (120) is configured to, in response to determining that the second sensor data (153) satisfies the adaptive performance metric adjustment criterion (135), determine, based on the second sensor data (153), an adaptive performance metric (137) to be compared to the first sensor data (151) to identify anomalous behavior of the first system (104). The processor (120) is further configured to compare the first sensor data (151) to the adaptive performance metric (137) and to generate a maintenance alert (139) in response to determining that the first sensor data (151) fails to satisfy the adaptive performance metric (137).</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2019</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZFAJc_XwdPZxVXD08_d19PEPDVZwcvVwDPP0D1JwcQ1xdQ7x9PfjYWBNS8wpTuWF0twMCm6uIc4euqkF-fGpxQWJyal5qSXxrgHGpibmRkYWjobGRCgBAD9qIq8</recordid><startdate>20191002</startdate><enddate>20191002</enddate><creator>Boggio, John</creator><creator>Sturlaugson, Liessman</creator><creator>Schmitz, Jeffrey A</creator><creator>Nicks, Eric L</creator><scope>EVB</scope></search><sort><creationdate>20191002</creationdate><title>VEHICLE ANOMALOUS BEHAVIOR DETECTION</title><author>Boggio, John ; Sturlaugson, Liessman ; Schmitz, Jeffrey A ; Nicks, Eric L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_EP3547228A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; fre ; ger</language><creationdate>2019</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>Boggio, John</creatorcontrib><creatorcontrib>Sturlaugson, Liessman</creatorcontrib><creatorcontrib>Schmitz, Jeffrey A</creatorcontrib><creatorcontrib>Nicks, Eric L</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Boggio, John</au><au>Sturlaugson, Liessman</au><au>Schmitz, Jeffrey A</au><au>Nicks, Eric L</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>VEHICLE ANOMALOUS BEHAVIOR DETECTION</title><date>2019-10-02</date><risdate>2019</risdate><abstract>A vehicle (102, 300) includes a first system (104), a first sensor (150), a second sensor (152), and a processor (120). The first sensor (150) is configured to generate first sensor data (151) indicative of an operational status of the first system (104). The second sensor (152) is configured to generate second sensor data (153) associated with an adaptive performance metric adjustment criterion (135). The processor (120) is configured to, in response to determining that the second sensor data (153) satisfies the adaptive performance metric adjustment criterion (135), determine, based on the second sensor data (153), an adaptive performance metric (137) to be compared to the first sensor data (151) to identify anomalous behavior of the first system (104). The processor (120) is further configured to compare the first sensor data (151) to the adaptive performance metric (137) and to generate a maintenance alert (139) in response to determining that the first sensor data (151) fails to satisfy the adaptive performance metric (137).</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | VEHICLE ANOMALOUS BEHAVIOR DETECTION |
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