{"id":"https://openalex.org/W4294855463","doi":"https://doi.org/10.1016/j.compeleceng.2022.108351","title":"Early detection of failures from vehicle equipment data using K-means clustering design","display_name":"Early detection of failures from vehicle equipment data using K-means clustering design","publication_year":2022,"publication_date":"2022-09-07","ids":{"openalex":"https://openalex.org/W4294855463","doi":"https://doi.org/10.1016/j.compeleceng.2022.108351"},"language":"en","primary_location":{"id":"doi:10.1016/j.compeleceng.2022.108351","doi":"https://doi.org/10.1016/j.compeleceng.2022.108351","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.compeleceng.2022.108351","pdf_url":null,"source":{"id":"https://openalex.org/S121340289","display_name":"Computers & Electrical Engineering","issn_l":"0045-7906","issn":["0045-7906","1879-0755"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-d","jufo-1","norway-1","poland-70","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers and Electrical Engineering","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W4294855463"],"child_works_count":0,"type":"article","is_traditional":true,"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/A5006142773","display_name":"Ehsan Mohamed","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I16197041","display_name":"Cyprus International University","ror":"https://ror.org/04mk5mk38","country_code":"CY","type":"education","lineage":["https://openalex.org/I16197041"]}],"countries":["CY"],"is_corresponding":true,"raw_author_name":"Ehsan Mohamed","raw_affiliation_strings":["Faculty of Civil Engineering, Cyprus International University, Cyprus"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Civil Engineering, Cyprus International University, Cyprus","institution_ids":["https://openalex.org/I16197041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038619172","display_name":"Tahir \u00c7elik","orcid":"https://orcid.org/0000-0002-2943-0640","observed_orcids":["https://orcid.org/0000-0002-2943-0640"]},"institutions":[{"id":"https://openalex.org/I16197041","display_name":"Cyprus International University","ror":"https://ror.org/04mk5mk38","country_code":"CY","type":"education","lineage":["https://openalex.org/I16197041"]}],"countries":["CY"],"is_corresponding":false,"raw_author_name":"Tahir Celik","raw_affiliation_strings":["Faculty of Civil Engineering, Cyprus International University, Cyprus"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Civil Engineering, Cyprus International University, Cyprus","institution_ids":["https://openalex.org/I16197041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5006142773"],"corresponding_institution_ids":["https://openalex.org/I16197041"],"apc_list":{"value":3100,"currency":"USD","value_usd":3100},"apc_paid":null,"fwci":2.2403,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.88243892,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":"103","issue":null,"first_page":"108351","last_page":"108351"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.850600004196167,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.850600004196167,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.07119999825954437,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.027799999341368675,"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/incipient-fault-detection","display_name":"early fault detection","score":0.7829999923706055},{"id":"https://openalex.org/keywords/construction-equipment","display_name":"construction machinery","score":0.6759999990463257},{"id":"https://openalex.org/keywords/vehicle-equipment","display_name":"vehicle equipment","score":0.7429999709129333},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"K-means clustering","score":0.9929999709129333},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"anomaly detection","score":0.8019999861717224},{"id":"https://openalex.org/keywords/data-mining","display_name":"data mining","score":0.7319999933242798},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"data warehouse","score":0.6510000228881836},{"id":"https://openalex.org/keywords/weka","display_name":"WEKA","score":0.8220000267028809},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.6859999895095825},{"id":"https://openalex.org/keywords/equipment-failure-diagnosis","display_name":"equipment failure diagnosis","score":0.36000001430511475}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8255523443222046},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.7823144197463989},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7018975019454956},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.68780118227005},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5510157942771912},{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.536113440990448},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.49042388796806335},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4854589104652405},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.47236496210098267},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.27719032764434814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21150889992713928},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.122621089220047},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0972963273525238},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.compeleceng.2022.108351","doi":"https://doi.org/10.1016/j.compeleceng.2022.108351","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.compeleceng.2022.108351","pdf_url":null,"source":{"id":"https://openalex.org/S121340289","display_name":"Computers & Electrical Engineering","issn_l":"0045-7906","issn":["0045-7906","1879-0755"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-d","jufo-1","norway-1","poland-70","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers and Electrical Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.7207000255584717,"id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W138670321","https://openalex.org/W208128215","https://openalex.org/W353758892","https://openalex.org/W372929718","https://openalex.org/W1495859460","https://openalex.org/W1673310716","https://openalex.org/W1965288838","https://openalex.org/W1979176945","https://openalex.org/W1982256550","https://openalex.org/W2003146103","https://openalex.org/W2014424917","https://openalex.org/W2071718951","https://openalex.org/W2141585940","https://openalex.org/W2163598528","https://openalex.org/W2490968359","https://openalex.org/W3083048781"],"related_works":["https://openalex.org/W2972635164","https://openalex.org/W3042583447","https://openalex.org/W2377647708","https://openalex.org/W4396525437","https://openalex.org/W2381908361","https://openalex.org/W2393945310","https://openalex.org/W7216729074","https://openalex.org/W3090548964","https://openalex.org/W4289767490","https://openalex.org/W2917199813"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2022-09-07T00:00:00"}
