{"id":"https://openalex.org/W3213806025","doi":"https://doi.org/10.1145/3480433.3480445","title":"Predictive Analytics of Machine Failure using Linear Regression on KNIME Platform","display_name":"Predictive Analytics of Machine Failure using Linear Regression on KNIME Platform","publication_year":2021,"publication_date":"2021-07-23","ids":{"openalex":"https://openalex.org/W3213806025","doi":"https://doi.org/10.1145/3480433.3480445","mag":"3213806025"},"language":"en","primary_location":{"id":"doi:10.1145/3480433.3480445","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3480433.3480445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Artificial Intelligence and Virtual Reality (AIVR)","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/A5025957697","display_name":"Emelia Akashah Patah Akhir","orcid":null},"institutions":[{"id":"https://openalex.org/I203899302","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07","country_code":"MY","type":"education","lineage":["https://openalex.org/I203899302"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Emelia Akashah P. Akhir","raw_affiliation_strings":["Universiti Teknologi Petronas, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universiti Teknologi Petronas, Malaysia","institution_ids":["https://openalex.org/I203899302"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004321998","display_name":"Nasha Ayuni","orcid":null},"institutions":[{"id":"https://openalex.org/I203899302","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07","country_code":"MY","type":"education","lineage":["https://openalex.org/I203899302"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Nasha Ayuni","raw_affiliation_strings":["Universiti Teknologi Petronas, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universiti Teknologi Petronas, Malaysia","institution_ids":["https://openalex.org/I203899302"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I203899302"],"apc_list":null,"apc_paid":null,"fwci":2.5931,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.89876543,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"59","last_page":"64"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13050","display_name":"Oil and Gas Production Techniques","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T13050","display_name":"Oil and Gas Production Techniques","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T14470","display_name":"Advanced Data Processing Techniques","score":0.9261999726295471,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/dashboard","display_name":"Dashboard","score":0.6574229001998901},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6096047163009644},{"id":"https://openalex.org/keywords/steam-turbine","display_name":"Steam turbine","score":0.46817582845687866},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.44262754917144775},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.3805098533630371},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.36317169666290283},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27086204290390015},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2551948130130768},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.22567850351333618}],"concepts":[{"id":"https://openalex.org/C33499554","wikidata":"https://www.wikidata.org/wiki/Q1417134","display_name":"Dashboard","level":2,"score":0.6574229001998901},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6096047163009644},{"id":"https://openalex.org/C14794904","wikidata":"https://www.wikidata.org/wiki/Q189859","display_name":"Steam turbine","level":2,"score":0.46817582845687866},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.44262754917144775},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.3805098533630371},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.36317169666290283},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27086204290390015},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2551948130130768},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.22567850351333618}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3480433.3480445","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3480433.3480445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Artificial Intelligence and Virtual Reality (AIVR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1999393241","https://openalex.org/W2148319469","https://openalex.org/W2161960293","https://openalex.org/W2809986361"],"related_works":["https://openalex.org/W2607236244","https://openalex.org/W2382083831","https://openalex.org/W4386891374","https://openalex.org/W2169792944","https://openalex.org/W4292603292","https://openalex.org/W2594203497","https://openalex.org/W3048913176","https://openalex.org/W4282830003","https://openalex.org/W2947439131","https://openalex.org/W2808637346"],"abstract_inverted_index":{"The":[0,17],"failure":[1,18,87,114,135],"of":[2,46,49,59,62,82,101,107,141],"machines":[3],"at":[4],"oil":[5,13,93,102],"and":[6,84,94,132],"gas":[7,67,95],"platforms":[8],"that":[9,24],"will":[10,88,147],"temporarily":[11],"stop":[12],"production":[14],"commonly":[15],"happens.":[16],"may":[19],"refer":[20],"to":[21,71,76,91,98,111],"the":[22,44,47,80,92,99,105,139,142,145],"machine":[23,113,123,126],"has":[25],"stopped":[26],"working,":[27],"is":[28,56,110],"not":[29,34],"working":[30],"properly,":[31],"or":[32,66],"does":[33],"meet":[35],"target":[36],"expectations.":[37],"In":[38],"this":[39,108],"research,":[40],"we":[41],"are":[42],"assessing":[43],"state":[45],"condition":[48],"a":[50,57,60,63,72,151],"turbine":[51,54,65,68],"generator.":[52],"A":[53],"generator":[55,75],"connection":[58],"shaft":[61],"steam":[64],"engine":[69],"connected":[70],"high-speed":[73],"electric":[74],"generate":[77],"electricity":[78],"in":[79],"process":[81],"drilling":[83],"digging.":[85],"Machine":[86],"cause":[89],"loss":[90],"industry":[96],"due":[97],"interruption":[100],"production.":[103],"Hence,":[104],"purpose":[106],"study":[109],"predict":[112],"using":[115,125],"linear":[116],"regression":[117],"on":[118],"KNIME":[119],"platform.":[120],"By":[121],"predicting":[122],"time-to-failure":[124],"learning,":[127],"maintenance":[128],"can":[129],"be":[130,148],"scheduled":[131],"performed":[133],"before":[134],"occurs.":[136],"Upon":[137],"measuring":[138],"accuracy":[140],"predicted":[143],"model,":[144],"result":[146],"visualized":[149],"through":[150],"dashboard":[152],"for":[153],"user":[154],"monitoring.":[155]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}