{"id":"https://openalex.org/W3053730252","doi":"https://doi.org/10.1109/iske47853.2019.9170327","title":"Unknown Compound Faults Diagnosis of High Speed Train Based on Capsule Network","display_name":"Unknown Compound Faults Diagnosis of High Speed Train Based on Capsule Network","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3053730252","doi":"https://doi.org/10.1109/iske47853.2019.9170327","mag":"3053730252"},"language":"en","primary_location":{"id":"doi:10.1109/iske47853.2019.9170327","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske47853.2019.9170327","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","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/A5100762331","display_name":"Yingjun Zhang","orcid":"https://orcid.org/0000-0001-5703-3610"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yingjun Zhang","raw_affiliation_strings":["School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032395367","display_name":"Yongquan Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongquan Jiang","raw_affiliation_strings":["State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024061265","display_name":"Yan Yang","orcid":"https://orcid.org/0000-0001-5798-3632"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Yang","raw_affiliation_strings":["School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090403025","display_name":"Yuxiao Gou","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxiao Gou","raw_affiliation_strings":["School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100370309","display_name":"Weihua Zhang","orcid":"https://orcid.org/0000-0002-3391-3872"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihua Zhang","raw_affiliation_strings":["State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079515149","display_name":"Jinxiong Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinxiong Chen","raw_affiliation_strings":["State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100762331"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.26476555,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"576","last_page":"583"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9781000018119812,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9781000018119812,"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/computer-science","display_name":"Computer science","score":0.6930825710296631},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6034421920776367},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5943827629089355},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5573921799659729},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5485095977783203},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5397198796272278},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.48572880029678345},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44271084666252136},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4273143410682678},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3826180100440979}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6930825710296631},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6034421920776367},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5943827629089355},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5573921799659729},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5485095977783203},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5397198796272278},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.48572880029678345},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44271084666252136},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4273143410682678},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3826180100440979},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iske47853.2019.9170327","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske47853.2019.9170327","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2966661","https://openalex.org/W22861983","https://openalex.org/W1522301498","https://openalex.org/W2020719522","https://openalex.org/W2147768505","https://openalex.org/W2271840356","https://openalex.org/W2355647989","https://openalex.org/W2508457857","https://openalex.org/W2575565377","https://openalex.org/W2586230645","https://openalex.org/W2775143585","https://openalex.org/W2782766333","https://openalex.org/W2801845820","https://openalex.org/W2947368489","https://openalex.org/W2963703618","https://openalex.org/W6600115225","https://openalex.org/W6600949241","https://openalex.org/W6631190155","https://openalex.org/W6694517276","https://openalex.org/W6743446608","https://openalex.org/W6747050675","https://openalex.org/W6747613565","https://openalex.org/W7024300467"],"related_works":["https://openalex.org/W3112485506","https://openalex.org/W2981629657","https://openalex.org/W2982355948","https://openalex.org/W2801457104","https://openalex.org/W3001026088","https://openalex.org/W2348842920","https://openalex.org/W2966450404","https://openalex.org/W3130900996","https://openalex.org/W2927556976","https://openalex.org/W3175295367","https://openalex.org/W2566433444","https://openalex.org/W3154286419","https://openalex.org/W3049546269","https://openalex.org/W3164030465","https://openalex.org/W2347943665","https://openalex.org/W3155754457","https://openalex.org/W2996101542","https://openalex.org/W3004464175","https://openalex.org/W2810383702","https://openalex.org/W2965465651"],"abstract_inverted_index":{"The":[0],"following":[1],"topics":[2],"are":[3],"dealt":[4],"with:":[5],"learning":[6],"(artificial":[7],"intelligence);":[8],"fuzzy":[9],"set":[10],"theory;":[11],"feature":[12],"extraction;":[13],"data":[14],"mining;":[15],"pattern":[16,27],"classification;":[17],"decision":[18],"making;":[19],"neural":[20,23],"nets;":[21,24],"convolutional":[22],"optimisation;":[25],"and":[26],"clustering.":[28]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}