{"id":"https://openalex.org/W2534153188","doi":"https://doi.org/10.1109/rose.2011.6058542","title":"Entropy filter for anomaly detection with eddy current remote field sensors","display_name":"Entropy filter for anomaly detection with eddy current remote field sensors","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W2534153188","doi":"https://doi.org/10.1109/rose.2011.6058542","mag":"2534153188"},"language":"en","primary_location":{"id":"doi:10.1109/rose.2011.6058542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rose.2011.6058542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Symposium on Robotic and Sensors Environments (ROSE)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000714989","display_name":"Davide Spinello","orcid":"https://orcid.org/0000-0002-6063-4289"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Davide Spinello","raw_affiliation_strings":["Department of Mechanical Engineering, University of Ottawa, Ottawa, ONT, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Ottawa, Ottawa, ONT, Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036560577","display_name":"Wail Gueaieb","orcid":"https://orcid.org/0000-0001-6490-4648"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Wail Gueaieb","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ONT, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ONT, Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090626375","display_name":"Roderick Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Roderick Lee","raw_affiliation_strings":["InvoDane Engineering, Toronto, ONT, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"InvoDane Engineering, Toronto, ONT, Canada","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4155,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.83596779,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"236","issue":null,"first_page":"95","last_page":"100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6567479372024536},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6022135019302368},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5989269614219666},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5662696361541748},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.4492191970348358},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4402006268501282},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4314470887184143},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4091571867465973},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40378379821777344},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3907548189163208},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32013511657714844},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.20286449790000916},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16484272480010986}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6567479372024536},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6022135019302368},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5989269614219666},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5662696361541748},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.4492191970348358},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4402006268501282},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4314470887184143},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4091571867465973},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40378379821777344},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3907548189163208},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32013511657714844},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.20286449790000916},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16484272480010986},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/rose.2011.6058542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rose.2011.6058542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Symposium on Robotic and Sensors Environments (ROSE)","raw_type":"proceedings-article"},{"id":"pmh:oai:ruor.uottawa.ca:10393/32147","is_oa":false,"landing_page_url":"http://hdl.handle.net/10393/32147","pdf_url":null,"source":{"id":"https://openalex.org/S4306400902","display_name":"uO Research (University of Ottawa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I153718931","host_organization_name":"University of Ottawa","host_organization_lineage":["https://openalex.org/I153718931"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":156,"referenced_works":["https://openalex.org/W12006350","https://openalex.org/W14760367","https://openalex.org/W35830084","https://openalex.org/W54330468","https://openalex.org/W80011902","https://openalex.org/W142362281","https://openalex.org/W162310421","https://openalex.org/W197497516","https://openalex.org/W653863224","https://openalex.org/W657133438","https://openalex.org/W1184842222","https://openalex.org/W1484442299","https://openalex.org/W1508238955","https://openalex.org/W1508952141","https://openalex.org/W1509235676","https://openalex.org/W1514935182","https://openalex.org/W1518419542","https://openalex.org/W1526575943","https://openalex.org/W1542258417","https://openalex.org/W1543388142","https://openalex.org/W1545744341","https://openalex.org/W1548667080","https://openalex.org/W1566480186","https://openalex.org/W1578525639","https://openalex.org/W1581237126","https://openalex.org/W1585385797","https://openalex.org/W1593125407","https://openalex.org/W1622922661","https://openalex.org/W1661992153","https://openalex.org/W1819883347","https://openalex.org/W1862121975","https://openalex.org/W1906424212","https://openalex.org/W1965774351","https://openalex.org/W1967228187","https://openalex.org/W1969005761","https://openalex.org/W1970128800","https://openalex.org/W1971260949","https://openalex.org/W1971793436","https://openalex.org/W1977556410","https://openalex.org/W1977568818","https://openalex.org/W1977727274","https://openalex.org/W1979593580","https://openalex.org/W1980265100","https://openalex.org/W1982366717","https://openalex.org/W1984045467","https://openalex.org/W1984045521","https://openalex.org/W1995352662","https://openalex.org/W1995843862","https://openalex.org/W1997168871","https://openalex.org/W2002694195","https://openalex.org/W2025888056","https://openalex.org/W2029436479","https://openalex.org/W2031207496","https://openalex.org/W2036394559","https://openalex.org/W2038087101","https://openalex.org/W2039088136","https://openalex.org/W2040661907","https://openalex.org/W2041905826","https://openalex.org/W2042790056","https://openalex.org/W2043907332","https://openalex.org/W2045548665","https://openalex.org/W2048092465","https://openalex.org/W2048305092","https://openalex.org/W2049053217","https://openalex.org/W2049157330","https://openalex.org/W2049343907","https://openalex.org/W2056004708","https://openalex.org/W2058260134","https://openalex.org/W2061122559","https://openalex.org/W2067903825","https://openalex.org/W2068044648","https://openalex.org/W2069098720","https://openalex.org/W2079145130","https://openalex.org/W2081024574","https://openalex.org/W2081337758","https://openalex.org/W2082593161","https://openalex.org/W2082600559","https://openalex.org/W2084543570","https://openalex.org/W2088809111","https://openalex.org/W2089014283","https://openalex.org/W2090036294","https://openalex.org/W2091311817","https://openalex.org/W2092299863","https://openalex.org/W2094169479","https://openalex.org/W2094650561","https://openalex.org/W2095345875","https://openalex.org/W2096121981","https://openalex.org/W2098626917","https://openalex.org/W2100330570","https://openalex.org/W2100722180","https://openalex.org/W2103243650","https://openalex.org/W2103400531","https://openalex.org/W2105809068","https://openalex.org/W2107029002","https://openalex.org/W2110674128","https://openalex.org/W2114419160","https://openalex.org/W2118377301","https://openalex.org/W2119821739","https://openalex.org/W2120915073","https://openalex.org/W2122646361","https://openalex.org/W2122882636","https://openalex.org/W2123098109","https://openalex.org/W2126652588","https://openalex.org/W2128801478","https://openalex.org/W2129514750","https://openalex.org/W2131752998","https://openalex.org/W2132580587","https://openalex.org/W2133524609","https://openalex.org/W2133777675","https://openalex.org/W2136774956","https://openalex.org/W2137130182","https://openalex.org/W2137560901","https://openalex.org/W2139475117","https://openalex.org/W2141718589","https://openalex.org/W2141992351","https://openalex.org/W2143237639","https://openalex.org/W2144200194","https://openalex.org/W2144658323","https://openalex.org/W2144933143","https://openalex.org/W2145227912","https://openalex.org/W2147898522","https://openalex.org/W2153610999","https://openalex.org/W2153753709","https://openalex.org/W2154573757","https://openalex.org/W2155490300","https://openalex.org/W2157568282","https://openalex.org/W2160150610","https://openalex.org/W2160975985","https://openalex.org/W2163817657","https://openalex.org/W2165558283","https://openalex.org/W2166207675","https://openalex.org/W2169413195","https://openalex.org/W2318196511","https://openalex.org/W2464198907","https://openalex.org/W2511764284","https://openalex.org/W2525502420","https://openalex.org/W2585459224","https://openalex.org/W2610557234","https://openalex.org/W2917635107","https://openalex.org/W2964034558","https://openalex.org/W2992344693","https://openalex.org/W2993330478","https://openalex.org/W2993383518","https://openalex.org/W3144621507","https://openalex.org/W3146003712","https://openalex.org/W4214605791","https://openalex.org/W4233226708","https://openalex.org/W4238603958","https://openalex.org/W4251448448","https://openalex.org/W4285719527","https://openalex.org/W6621893023","https://openalex.org/W6630969681","https://openalex.org/W6634348083","https://openalex.org/W6635036914","https://openalex.org/W6642764900","https://openalex.org/W6725579580"],"related_works":["https://openalex.org/W4388311650","https://openalex.org/W1974056099","https://openalex.org/W4245343541","https://openalex.org/W2386077341","https://openalex.org/W563589758","https://openalex.org/W5922282","https://openalex.org/W2954004777","https://openalex.org/W2949638731","https://openalex.org/W2951102138","https://openalex.org/W4299447939"],"abstract_inverted_index":{"We":[0],"consider":[1,77],"the":[2,33,42,48,94,108,131,137,140],"problem":[3],"of":[4,35,44,110,115,120,133,139],"extracting":[5],"a":[6,10,15,27,113,118],"specific":[7],"feature":[8],"from":[9,112],"noisy":[11],"signal":[12,70],"generated":[13],"by":[14,56],"multi-channels":[16],"Remote":[17,145],"Field":[18,146],"Eddy":[19,147],"Current":[20,148],"Sensor.":[21,149],"The":[22,102],"sensor":[23],"is":[24,32,105],"installed":[25],"on":[26,82,93],"mobile":[28],"robot":[29],"whose":[30],"mission":[31],"detection":[34,143],"anomalous":[36],"regions":[37],"in":[38,63,142],"metal":[39],"pipelines.":[40],"Given":[41],"presence":[43],"noise":[45,57],"that":[46,72],"characterizes":[47],"data":[49,89,111],"series,":[50],"anomaly":[51],"signals":[52],"could":[53],"be":[54],"masked":[55],"and":[58],"therefore":[59],"difficult":[60],"to":[61,68,107],"identify":[62,74],"some":[64],"instances.":[65],"In":[66],"order":[67],"enhance":[69],"peaks":[71],"potentially":[73],"anomalies":[75,121,129],"we":[76],"an":[78],"entropy":[79],"filter":[80,141],"built":[81],"a-posteriori":[83],"probability":[84],"density":[85],"functions":[86],"associated":[87],"with":[88,117,144],"series.":[90],"Thresholds":[91],"based":[92],"Neyman-Pearson":[95],"criterion":[96],"for":[97],"hypothesis":[98],"testing":[99],"are":[100],"derived.":[101],"algorithmic":[103],"tool":[104],"applied":[106],"analysis":[109],"portion":[114],"pipeline":[116],"set":[119,132],"introduced":[122],"at":[123],"predetermined":[124],"locations.":[125],"Critical":[126],"areas":[127],"identifying":[128],"capture":[130],"damaged":[134],"locations,":[135],"demonstrating":[136],"effectiveness":[138]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}