{"id":"https://openalex.org/W2008338177","doi":"https://doi.org/10.1080/08839510903210589","title":"PIPELINE DEFECT PREDICTION USING SUPPORT VECTOR MACHINES","display_name":"PIPELINE DEFECT PREDICTION USING SUPPORT VECTOR MACHINES","publication_year":2009,"publication_date":"2009-10-06","ids":{"openalex":"https://openalex.org/W2008338177","doi":"https://doi.org/10.1080/08839510903210589","mag":"2008338177"},"language":"en","primary_location":{"id":"doi:10.1080/08839510903210589","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839510903210589","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839510903210589?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839510903210589?download=true","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082908944","display_name":"Dino Isa","orcid":null},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]},{"id":"https://openalex.org/I155043079","display_name":"University of Nottingham Malaysia Campus","ror":"https://ror.org/04mz9mt17","country_code":"MY","type":"education","lineage":["https://openalex.org/I142263535","https://openalex.org/I155043079"]}],"countries":["GB","MY"],"is_corresponding":false,"raw_author_name":"Dino Isa","raw_affiliation_strings":["\n                   \n               Department of Electrical and Electronic Engineering, University of Nottingham, Selangor, Malaysia","Department of Electrical and Electronic Engineering , University of Nottingham , Selangor , Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\n                   \n               Department of Electrical and Electronic Engineering, University of Nottingham, Selangor, Malaysia","institution_ids":["https://openalex.org/I155043079"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering , University of Nottingham , Selangor , Malaysia","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103749277","display_name":"Rajprasad Kumar Rajkumar","orcid":null},"institutions":[{"id":"https://openalex.org/I155043079","display_name":"University of Nottingham Malaysia Campus","ror":"https://ror.org/04mz9mt17","country_code":"MY","type":"education","lineage":["https://openalex.org/I142263535","https://openalex.org/I155043079"]},{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB","MY"],"is_corresponding":true,"raw_author_name":"Rajprasad Rajkumar","raw_affiliation_strings":["\n                   \n               Department of Electrical and Electronic Engineering, University of Nottingham, Selangor, Malaysia","Department of Electrical and Electronic Engineering , University of Nottingham , Selangor , Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\n                   \n               Department of Electrical and Electronic Engineering, University of Nottingham, Selangor, Malaysia","institution_ids":["https://openalex.org/I155043079"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering , University of Nottingham , Selangor , Malaysia","institution_ids":["https://openalex.org/I142263535"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103749277"],"corresponding_institution_ids":["https://openalex.org/I142263535","https://openalex.org/I155043079"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":null,"fwci":1.3025,"has_fulltext":true,"cited_by_count":46,"citation_normalized_percentile":{"value":0.80149853,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"23","issue":"8","first_page":"758","last_page":"771"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T11220","display_name":"Water Systems and Optimization","score":0.9937000274658203,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9929999709129333,"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/support-vector-machine","display_name":"Support vector machine","score":0.7783220410346985},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.77139812707901},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7521201372146606},{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.6317864656448364},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5396028161048889},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5032877326011658},{"id":"https://openalex.org/keywords/pigging","display_name":"Pigging","score":0.500281572341919},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4676131010055542},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4358900487422943},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.426877498626709},{"id":"https://openalex.org/keywords/ultrasonic-sensor","display_name":"Ultrasonic sensor","score":0.4188338816165924},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.386636346578598},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.3788791298866272},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3766658902168274},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.1306268572807312},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10889115929603577}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7783220410346985},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.77139812707901},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7521201372146606},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.6317864656448364},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5396028161048889},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5032877326011658},{"id":"https://openalex.org/C172427958","wikidata":"https://www.wikidata.org/wiki/Q338447","display_name":"Pigging","level":3,"score":0.500281572341919},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4676131010055542},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4358900487422943},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.426877498626709},{"id":"https://openalex.org/C81288441","wikidata":"https://www.wikidata.org/wiki/Q20736125","display_name":"Ultrasonic sensor","level":2,"score":0.4188338816165924},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.386636346578598},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.3788791298866272},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3766658902168274},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.1306268572807312},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10889115929603577},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/08839510903210589","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839510903210589","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839510903210589?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1080/08839510903210589","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839510903210589","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839510903210589?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2008338177.pdf","grobid_xml":"https://content.openalex.org/works/W2008338177.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W98848129","https://openalex.org/W568081644","https://openalex.org/W1869391892","https://openalex.org/W1994101173","https://openalex.org/W2030509934","https://openalex.org/W2037680198","https://openalex.org/W2049291997","https://openalex.org/W2108995755","https://openalex.org/W2115755118","https://openalex.org/W2124776405","https://openalex.org/W2139212933","https://openalex.org/W2156909104","https://openalex.org/W4230674625","https://openalex.org/W4232469436","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4389747673","https://openalex.org/W2009664927","https://openalex.org/W4293100559","https://openalex.org/W3199623333","https://openalex.org/W4285554960","https://openalex.org/W4380433113","https://openalex.org/W1964118414","https://openalex.org/W4386072068","https://openalex.org/W252339960","https://openalex.org/W2390529043"],"abstract_inverted_index":{"Oil":[0],"and":[1,21,101,135],"gas":[2],"pipeline":[3],"condition":[4],"monitoring":[5,62],"is":[6],"a":[7,51,60,98,128],"potentially":[8,26],"challenging":[9],"process":[10],"due":[11],"to":[12,35,147],"varying":[13],"temperature":[14],"conditions,":[15],"harshness":[16],"of":[17,29,32,67,75,124,138,156],"the":[18,37,43,73,76,92,105,110,118,122,133,139,149,154],"flowing":[19],"commodity":[20],"unpredictable":[22],"terrains.Pipeline":[23],"breakdown":[24],"can":[25,120],"cost":[27],"millions":[28],"dollars":[30],"worth":[31],"loss,":[33],"not":[34],"mention":[36],"serious":[38],"environmental":[39],"damage":[40],"caused":[41],"by":[42,131],"leaking":[44],"commodity.The":[45],"proposed":[46],"techniques,":[47],"although":[48],"implemented":[49],"on":[50,72],"lab":[52],"scale":[53],"experimental":[54],"rig,":[55],"ultimately":[56],"aim":[57],"at":[58],"providing":[59],"continuous":[61],"system":[63],"using":[64,91,104],"an":[65],"array":[66],"different":[68],"sensors":[69,78,119],"strategically":[70],"positioned":[71],"surface":[74],"pipeline.The":[77],"used":[79],"are":[80],"piezoelectric":[81],"ultrasonic":[82],"sensors.The":[83],"raw":[84],"sensor":[85],"signal":[86],"will":[87],"be":[88],"first":[89],"processed":[90],"discrete":[93],"wavelet":[94],"transform":[95],"(DWT)":[96],"as":[97,151],"feature":[99],"extractor":[100],"then":[102],"classified":[103],"powerful":[106],"learning":[107],"machine":[108,113],"called":[109],"support":[111],"vector":[112],"(SVM).Preliminary":[114],"tests":[115],"show":[116],"that":[117],"detect":[121],"presence":[123,155],"wall":[125,157],"thinning":[126],"in":[127,153],"steel":[129],"pipe":[130],"classifying":[132],"attenuation":[134],"frequency":[136],"changes":[137],"propagating":[140],"lamb":[141],"waves.The":[142],"SVM":[143],"algorithm":[144],"was":[145],"able":[146],"classify":[148],"signals":[150],"abnormal":[152],"thinning.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
