{"id":"https://openalex.org/W2088821904","doi":"https://doi.org/10.1109/cidm.2013.6597245","title":"Nonnegative matrix factorization and artificial immune based classification for fault diagnosis of diesel valve train","display_name":"Nonnegative matrix factorization and artificial immune based classification for fault diagnosis of diesel valve train","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W2088821904","doi":"https://doi.org/10.1109/cidm.2013.6597245","mag":"2088821904"},"language":"en","primary_location":{"id":"doi:10.1109/cidm.2013.6597245","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cidm.2013.6597245","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM)","raw_type":"proceedings-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/A5101729724","display_name":"Yongsheng Yang","orcid":"https://orcid.org/0000-0003-3525-6148"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongsheng Yang","raw_affiliation_strings":["School of Mechanical Engineering, Xi'an Jiaotong University, Xian, China","Sch. of Mech. Eng., Xi'an Jiaotong Univ., Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi'an Jiaotong University, Xian, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Sch. of Mech. Eng., Xi'an Jiaotong Univ., Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100438662","display_name":"Gang Li","orcid":"https://orcid.org/0000-0002-0358-0085"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]},{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Li","raw_affiliation_strings":["School of Mechanical Engineering, Xi'an Jiaotong University, Xian, China","Sch. of Mechatron. Eng., Xi'an Technol. Univ., Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi'an Jiaotong University, Xian, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Sch. of Mechatron. Eng., Xi'an Technol. Univ., Xi'an, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100732893","display_name":"Yongsheng Zhu","orcid":"https://orcid.org/0000-0002-9256-2427"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongsheng Zhu","raw_affiliation_strings":["School of Mechanical Engineering, Xi'an Jiaotong University, Xian, China","Sch. of Mech. Eng., Xi'an Jiaotong Univ., Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi'an Jiaotong University, Xian, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Sch. of Mech. Eng., Xi'an Jiaotong Univ., Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044966148","display_name":"Youyun Zhang","orcid":"https://orcid.org/0000-0002-5449-7759"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youyun Zhang","raw_affiliation_strings":["School of Mechanical Engineering, Xi'an Jiaotong University, Xian, China","Sch. of Mech. Eng., Xi'an Jiaotong Univ., Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi'an Jiaotong University, Xian, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Sch. of Mech. Eng., Xi'an Jiaotong Univ., Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101729724"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.1998,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.5816133,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"411","issue":null,"first_page":"262","last_page":"266"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12391","display_name":"Artificial Immune Systems Applications","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9807999730110168,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9789000153541565,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6085227131843567},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5962703824043274},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5926143527030945},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5896653532981873},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.5373484492301941},{"id":"https://openalex.org/keywords/artificial-immune-system","display_name":"Artificial immune system","score":0.516746461391449},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.49973464012145996},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.49295854568481445},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4922162592411041},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4859282076358795},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4443511962890625},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.41374754905700684},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36340177059173584},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.24168738722801208}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6085227131843567},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5962703824043274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5926143527030945},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5896653532981873},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.5373484492301941},{"id":"https://openalex.org/C93768804","wikidata":"https://www.wikidata.org/wiki/Q2518735","display_name":"Artificial immune system","level":2,"score":0.516746461391449},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.49973464012145996},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.49295854568481445},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4922162592411041},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4859282076358795},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4443511962890625},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.41374754905700684},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36340177059173584},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.24168738722801208},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cidm.2013.6597245","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cidm.2013.6597245","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM)","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":20,"referenced_works":["https://openalex.org/W591732527","https://openalex.org/W1654016072","https://openalex.org/W1902027874","https://openalex.org/W1983489604","https://openalex.org/W2039696508","https://openalex.org/W2043814259","https://openalex.org/W2044575869","https://openalex.org/W2072246513","https://openalex.org/W2073598270","https://openalex.org/W2099590928","https://openalex.org/W2104457585","https://openalex.org/W2107534584","https://openalex.org/W2116216716","https://openalex.org/W2147765615","https://openalex.org/W2167894027","https://openalex.org/W2272518732","https://openalex.org/W2358478384","https://openalex.org/W2520654854","https://openalex.org/W6675513952","https://openalex.org/W7018867590"],"related_works":["https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W34555840","https://openalex.org/W4294224199"],"abstract_inverted_index":{"To":[0],"efficiently":[1],"mine":[2],"the":[3,32,43,68,77,85,88,96],"classification":[4,15,51,79],"model":[5,52],"for":[6,39],"machine":[7,69],"fault":[8,78,101],"diagnosis":[9,102],"based":[10,50],"on":[11,76],"images,":[12],"a":[13],"hybrid":[14,97],"algorithm,":[16,33],"which":[17],"inspired":[18],"by":[19,55],"combining":[20],"nonnegative":[21,34],"matrix":[22,35],"factorization":[23,36],"and":[24,71],"artificial":[25,48],"immune":[26,49],"system,":[27],"was":[28,37,53],"put":[29],"forward.":[30],"In":[31],"employed":[38],"dimensionality":[40],"reduction":[41],"of":[42,57,59,80,87],"time-frequency":[44],"spectral":[45],"images.":[46],"An":[47],"constructed":[54],"means":[56],"training":[58],"data":[60],"samples":[61],"mapped":[62],"into":[63],"low-dimensional":[64],"space":[65],"to":[66],"recognize":[67],"conditions":[70],"diagnose":[72],"faults.":[73],"Experimental":[74],"results":[75],"diesel":[81],"valve":[82],"train":[83],"demonstrate":[84],"effectiveness":[86],"algorithm.":[89],"Compared":[90],"with":[91],"probabilistic":[92],"neural":[93],"network":[94],"classifiers,":[95],"classifier":[98],"achieves":[99],"better":[100],"performance.":[103]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
