{"id":"https://openalex.org/W3016623278","doi":"https://doi.org/10.3233/jcm-204319","title":"Fault prediction method based on linear weighted summation","display_name":"Fault prediction method based on linear weighted summation","publication_year":2020,"publication_date":"2020-04-14","ids":{"openalex":"https://openalex.org/W3016623278","doi":"https://doi.org/10.3233/jcm-204319","mag":"3016623278"},"language":"en","primary_location":{"id":"doi:10.3233/jcm-204319","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jcm-204319","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"},"type":"article","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/A5100689430","display_name":"Xinjun Wang","orcid":"https://orcid.org/0000-0003-0776-7274"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinjun Wang","raw_affiliation_strings":["Aviation Maintenance NCO Academy, Air Force Engineering University, Xinyang, Henan, China"],"affiliations":[{"raw_affiliation_string":"Aviation Maintenance NCO Academy, Air Force Engineering University, Xinyang, Henan, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062820336","display_name":"Zhiliang Ke","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiliang Ke","raw_affiliation_strings":["Unit No. 95903 of PLA, Wuhan, Hubei, China","E-mail:"],"affiliations":[{"raw_affiliation_string":"Unit No. 95903 of PLA, Wuhan, Hubei, China","institution_ids":[]},{"raw_affiliation_string":"E-mail:","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100689430"],"corresponding_institution_ids":["https://openalex.org/I4210104252"],"apc_list":null,"apc_paid":null,"fwci":0.2976,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.53993367,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"20","issue":"4","first_page":"1211","last_page":"1220"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9853000044822693,"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"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9853000044822693,"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"}},{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9664999842643738,"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"}},{"id":"https://openalex.org/T14225","display_name":"Advanced Sensor and Control Systems","score":0.9638000130653381,"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/threshold-limit-value","display_name":"Threshold limit value","score":0.6819270253181458},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6782709360122681},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5546801090240479},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5455313920974731},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5278372764587402},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5068538784980774},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1827288269996643},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09492939710617065}],"concepts":[{"id":"https://openalex.org/C64413873","wikidata":"https://www.wikidata.org/wiki/Q21005","display_name":"Threshold limit value","level":2,"score":0.6819270253181458},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6782709360122681},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5546801090240479},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5455313920974731},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5278372764587402},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5068538784980774},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1827288269996643},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09492939710617065},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jcm-204319","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jcm-204319","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1449300207","https://openalex.org/W2025881062","https://openalex.org/W2068726044","https://openalex.org/W2074299074","https://openalex.org/W2078779900","https://openalex.org/W2092478576","https://openalex.org/W2223833453","https://openalex.org/W2230524333","https://openalex.org/W2413795080","https://openalex.org/W2466158375","https://openalex.org/W2525261832","https://openalex.org/W2561176741","https://openalex.org/W2575560794","https://openalex.org/W2898601989","https://openalex.org/W3022888428","https://openalex.org/W6668054923","https://openalex.org/W6716016901"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2544423928","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W2052122378","https://openalex.org/W2062023542","https://openalex.org/W4313731559"],"abstract_inverted_index":{"A":[0],"method":[1,90],"to":[2,22,51,84],"calculate":[3],"the":[4,7,24,33,40,56,59,65,74,86,108,111],"threshold":[5,61,124],"of":[6,32,55,110],"wear":[8,128],"particle":[9],"concentration":[10,26,31],"in":[11,27,131],"lubricating":[12],"oil":[13,28],"was":[14,37,49,62,91],"proposed,":[15],"and":[16,43,99],"it":[17,81],"can":[18,126],"also":[19],"be":[20],"used":[21,38,50],"predict":[23],"debris":[25],"system.":[29],"The":[30,69,89,103,121],"selected":[34],"6":[35],"elements":[36],"as":[39],"monitoring":[41,60,87,123],"object,":[42],"a":[44],"linear":[45,119],"weighted":[46],"summation":[47],"process":[48,71],"enhance":[52],"numerical":[53],"stability":[54],"object":[57],"value,":[58],"calculated":[63],"using":[64],"Student":[66],"distribution":[67],"model.":[68,120],"computational":[70],"needs":[72],"only":[73],"latest":[75],"7":[76],"\u223c":[77],"10":[78],"samples,":[79],"so":[80],"is":[82,115],"easy":[83],"update":[85],"threshold.":[88],"tested":[92],"by":[93],"some":[94],"samples":[95],"from":[96],"aircraft":[97],"engines":[98],"helicopter":[100],"gear":[101],"reducers.":[102],"test":[104],"results":[105],"show":[106],"that":[107],"accuracy":[109],"proposed":[112,122],"prediction":[113],"model":[114],"higher":[116],"than":[117],"traditional":[118],"algorithm":[125],"forecast":[127],"out":[129],"failure":[130],"advance.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-22T06:01:30.510260","created_date":"2025-10-10T00:00:00"}