{"id":"https://openalex.org/W3205788673","doi":"https://doi.org/10.3390/s21206715","title":"Improved Random Forest Algorithm Based on Decision Paths for Fault Diagnosis of Chemical Process with Incomplete Data","display_name":"Improved Random Forest Algorithm Based on Decision Paths for Fault Diagnosis of Chemical Process with Incomplete Data","publication_year":2021,"publication_date":"2021-10-09","ids":{"openalex":"https://openalex.org/W3205788673","doi":"https://doi.org/10.3390/s21206715","mag":"3205788673","pmid":"https://pubmed.ncbi.nlm.nih.gov/34695927"},"language":"en","primary_location":{"id":"doi:10.3390/s21206715","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21206715","pdf_url":"https://www.mdpi.com/1424-8220/21/20/6715/pdf?version=1634034437","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/20/6715/pdf?version=1634034437","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041008670","display_name":"Yuequn Zhang","orcid":"https://orcid.org/0009-0006-7906-9132"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuequn Zhang","raw_affiliation_strings":["Department of Chemical Engineering, Sichuan University, Chengdu 610065, China"],"raw_orcid":"https://orcid.org/0000-0002-8194-5406","affiliations":[{"raw_affiliation_string":"Department of Chemical Engineering, Sichuan University, Chengdu 610065, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016252333","display_name":"Lei Luo","orcid":"https://orcid.org/0000-0003-0714-5504"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Luo","raw_affiliation_strings":["Department of Chemical Engineering, Sichuan University, Chengdu 610065, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Chemical Engineering, Sichuan University, Chengdu 610065, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039631808","display_name":"Xu Ji","orcid":"https://orcid.org/0000-0002-1005-7401"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Ji","raw_affiliation_strings":["Department of Chemical Engineering, Sichuan University, Chengdu 610065, China"],"raw_orcid":"https://orcid.org/0000-0002-1005-7401","affiliations":[{"raw_affiliation_string":"Department of Chemical Engineering, Sichuan University, Chengdu 610065, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026702753","display_name":"Yiyang Dai","orcid":"https://orcid.org/0000-0001-6000-9160"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiyang Dai","raw_affiliation_strings":["Department of Chemical Engineering, Sichuan University, Chengdu 610065, China"],"raw_orcid":"https://orcid.org/0000-0001-6000-9160","affiliations":[{"raw_affiliation_string":"Department of Chemical Engineering, Sichuan University, Chengdu 610065, China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5026702753"],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.804,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.85147418,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"21","issue":"20","first_page":"6715","last_page":"6715"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9998000264167786,"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":0.9998000264167786,"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9932000041007996,"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"}},{"id":"https://openalex.org/T11357","display_name":"Risk and Safety Analysis","score":0.9782999753952026,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.7021306753158569},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6810333728790283},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6720240116119385},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.643200159072876},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.6100075244903564},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.5991635918617249},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5533226132392883},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5506894588470459},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4919547736644745},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.46930769085884094},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.46398428082466125},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3729739189147949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.368579238653183},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.3487411141395569},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3417453169822693},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.321147620677948},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2670624852180481},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1978815793991089}],"concepts":[{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.7021306753158569},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6810333728790283},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6720240116119385},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.643200159072876},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.6100075244903564},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.5991635918617249},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5533226132392883},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5506894588470459},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4919547736644745},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.46930769085884094},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.46398428082466125},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3729739189147949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.368579238653183},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3487411141395569},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3417453169822693},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.321147620677948},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2670624852180481},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1978815793991089},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"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/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000077558","descriptor_name":"Big Data","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077558","descriptor_name":"Big Data","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077558","descriptor_name":"Big Data","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055598","descriptor_name":"Chemical Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055598","descriptor_name":"Chemical Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055598","descriptor_name":"Chemical Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s21206715","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21206715","pdf_url":"https://www.mdpi.com/1424-8220/21/20/6715/pdf?version=1634034437","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:34695927","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34695927","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:dbd410d15a1d46a4a1dc5711ab710150","is_oa":true,"landing_page_url":"https://doaj.org/article/dbd410d15a1d46a4a1dc5711ab710150","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 21, Iss 20, p 6715 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/20/6715/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21206715","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 21; Issue 20; Pages: 6715","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8538123","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8538123","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21206715","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21206715","pdf_url":"https://www.mdpi.com/1424-8220/21/20/6715/pdf?version=1634034437","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life in Land","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G5315209691","display_name":null,"funder_award_id":"21706220","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6694596538","display_name":null,"funder_award_id":"2021YFS0301","funder_id":"https://openalex.org/F4320333335","funder_display_name":"Sichuan Province Science and Technology Support Program"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320333335","display_name":"Sichuan Province Science and Technology Support Program","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3205788673.pdf","grobid_xml":"https://content.openalex.org/works/W3205788673.grobid-xml"},"referenced_works_count":73,"referenced_works":["https://openalex.org/W275121676","https://openalex.org/W562231173","https://openalex.org/W1419302472","https://openalex.org/W1793352132","https://openalex.org/W1970537494","https://openalex.org/W1985419027","https://openalex.org/W2004186751","https://openalex.org/W2022916997","https://openalex.org/W2031457120","https://openalex.org/W2031548589","https://openalex.org/W2096555119","https://openalex.org/W2109965063","https://openalex.org/W2113132099","https://openalex.org/W2122177459","https://openalex.org/W2122752936","https://openalex.org/W2136347995","https://openalex.org/W2139075905","https://openalex.org/W2195015743","https://openalex.org/W2287199644","https://openalex.org/W2322761252","https://openalex.org/W2326382152","https://openalex.org/W2340289503","https://openalex.org/W2594332903","https://openalex.org/W2613126452","https://openalex.org/W2761181345","https://openalex.org/W2768753204","https://openalex.org/W2788093030","https://openalex.org/W2790195878","https://openalex.org/W2794473504","https://openalex.org/W2795411881","https://openalex.org/W2802764141","https://openalex.org/W2822775433","https://openalex.org/W2895250764","https://openalex.org/W2902085258","https://openalex.org/W2904171273","https://openalex.org/W2905530669","https://openalex.org/W2906256948","https://openalex.org/W2910025884","https://openalex.org/W2911964244","https://openalex.org/W2912816184","https://openalex.org/W2914014468","https://openalex.org/W2920309150","https://openalex.org/W2921375590","https://openalex.org/W2939329110","https://openalex.org/W2943893658","https://openalex.org/W2950522612","https://openalex.org/W2951576719","https://openalex.org/W2951837249","https://openalex.org/W2957723078","https://openalex.org/W2967909356","https://openalex.org/W2969959982","https://openalex.org/W2981386789","https://openalex.org/W2986317669","https://openalex.org/W2995492659","https://openalex.org/W2996510249","https://openalex.org/W2998998923","https://openalex.org/W3033410381","https://openalex.org/W3034047686","https://openalex.org/W3034477267","https://openalex.org/W3102208177","https://openalex.org/W3111977680","https://openalex.org/W3117615028","https://openalex.org/W3121331388","https://openalex.org/W3122765467","https://openalex.org/W3124401852","https://openalex.org/W3142916799","https://openalex.org/W3150857133","https://openalex.org/W3152902866","https://openalex.org/W3159370653","https://openalex.org/W3191186171","https://openalex.org/W4249625715","https://openalex.org/W6761313093","https://openalex.org/W6799585775"],"related_works":["https://openalex.org/W4366990902","https://openalex.org/W4388550696","https://openalex.org/W4321636153","https://openalex.org/W4313289487","https://openalex.org/W3121841074","https://openalex.org/W1845209238","https://openalex.org/W2055572829","https://openalex.org/W3036613766","https://openalex.org/W3080944905","https://openalex.org/W1894159578"],"abstract_inverted_index":{"Fault":[0],"detection":[1],"and":[2,92,152,161],"diagnosis":[3],"(FDD)":[4],"has":[5],"received":[6],"considerable":[7],"attention":[8],"with":[9,175],"the":[10,55,73,77,89,93,106,108,112,118,126,143,149,153,159,164,167,179],"advent":[11],"of":[12,24,57,121,163],"big":[13],"data.":[14,59,188],"Many":[15],"data-driven":[16],"FDD":[17,177],"procedures":[18],"have":[19],"been":[20],"proposed,":[21],"but":[22],"most":[23],"them":[25],"may":[26],"not":[27],"be":[28,115,129],"accurate":[29],"when":[30],"data":[31],"missing":[32,87],"occurs.":[33],"Therefore,":[34],"this":[35,61],"paper":[36],"proposes":[37],"an":[38],"improved":[39],"random":[40],"forest":[41],"(RF)":[42],"based":[43],"on":[44,186],"decision":[45,74,90,123],"paths,":[46],"named":[47],"DPRF,":[48],"utilizing":[49],"correction":[50],"coefficients":[51],"to":[52,70,131,142],"compensate":[53],"for":[54,80,102,111,125],"influence":[56],"incomplete":[58,187],"In":[60],"DPRF":[62,181],"model,":[63],"intact":[64],"training":[65],"samples":[66],"are":[67,98],"firstly":[68],"used":[69],"grow":[71],"all":[72],"trees":[75],"in":[76,105],"RF.":[78],"Then,":[79],"each":[81,103,122],"test":[82],"sample":[83,113,127],"that":[84,101],"possibly":[85],"contains":[86],"values,":[88],"paths":[91],"corresponding":[94,154],"nodes":[95],"importance":[96],"scores":[97],"obtained,":[99],"so":[100],"tree":[104,124],"RF,":[107],"reliability":[109,133,155],"score":[110],"can":[114],"inferred.":[116],"Thus,":[117],"prediction":[119,137],"results":[120,151],"will":[128],"assigned":[130],"certain":[132],"scores.":[134,156],"The":[135],"final":[136],"result":[138],"is":[139,172],"obtained":[140],"according":[141],"majority":[144],"voting":[145],"law,":[146],"combining":[147],"both":[148],"predicting":[150],"To":[157],"prove":[158],"feasibility":[160],"effectiveness":[162],"proposed":[165,180],"method,":[166],"Tennessee":[168],"Eastman":[169],"(TE)":[170],"process":[171],"tested.":[173],"Compared":[174],"other":[176],"methods,":[178],"model":[182],"shows":[183],"better":[184],"performance":[185]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
