{"id":"https://openalex.org/W2180654463","doi":"https://doi.org/10.3233/ifs-151876","title":"Soft sensor for ball mill fill level based on uncertainty reasoning of cloud model","display_name":"Soft sensor for ball mill fill level based on uncertainty reasoning of cloud model","publication_year":2015,"publication_date":"2015-11-23","ids":{"openalex":"https://openalex.org/W2180654463","doi":"https://doi.org/10.3233/ifs-151876","mag":"2180654463"},"language":"en","primary_location":{"id":"doi:10.3233/ifs-151876","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ifs-151876","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"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 Intelligent & Fuzzy Systems","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/A5065852771","display_name":"Gaowei Yan","orcid":"https://orcid.org/0000-0001-9714-0971"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Gaowei Yan","raw_affiliation_strings":["Department of Automation, Taiyuan University of Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047381748","display_name":"Shanshan Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanshan Ji","raw_affiliation_strings":["Department of Automation, Taiyuan University of Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042609299","display_name":"Gang Xie","orcid":"https://orcid.org/0000-0001-5769-0565"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Xie","raw_affiliation_strings":["Department of Automation, Taiyuan University of Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065852771"],"corresponding_institution_ids":["https://openalex.org/I9086337"],"apc_list":null,"apc_paid":null,"fwci":4.7676,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.95132156,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"30","issue":"3","first_page":"1675","last_page":"1689"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9997000098228455,"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/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9997000098228455,"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/T10320","display_name":"Neural Networks and Applications","score":0.9865999817848206,"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/T14368","display_name":"Evaluation and Optimization Models","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/cloud-computing","display_name":"Cloud computing","score":0.82121741771698},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.682040810585022},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.6505941152572632},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5331289768218994},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41433268785476685},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4083387553691864},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14925435185432434},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09160399436950684}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.82121741771698},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.682040810585022},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.6505941152572632},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5331289768218994},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41433268785476685},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4083387553691864},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14925435185432434},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09160399436950684},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ifs-151876","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ifs-151876","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"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 Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.47999998927116394}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322666","display_name":"Natural Science Foundation of Shanxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W85209308","https://openalex.org/W1966323298","https://openalex.org/W1974671030","https://openalex.org/W1986280074","https://openalex.org/W1987936550","https://openalex.org/W2007183181","https://openalex.org/W2019735713","https://openalex.org/W2022633289","https://openalex.org/W2025922300","https://openalex.org/W2031518543","https://openalex.org/W2038914522","https://openalex.org/W2075383749","https://openalex.org/W2078127347","https://openalex.org/W2078976036","https://openalex.org/W2098206081","https://openalex.org/W2132484736","https://openalex.org/W2152880320","https://openalex.org/W2233676609","https://openalex.org/W2314174171","https://openalex.org/W2347773020","https://openalex.org/W2356094085","https://openalex.org/W2369050665","https://openalex.org/W2373953725","https://openalex.org/W2376588339","https://openalex.org/W2387143347","https://openalex.org/W2387929145","https://openalex.org/W2392020505","https://openalex.org/W3016024334","https://openalex.org/W7007924999","https://openalex.org/W7071269685"],"related_works":["https://openalex.org/W2383532021","https://openalex.org/W2318636398","https://openalex.org/W2134650437","https://openalex.org/W2041647321","https://openalex.org/W2391329449","https://openalex.org/W2381128896","https://openalex.org/W4297103591","https://openalex.org/W2348506264","https://openalex.org/W2379430827","https://openalex.org/W2351525881"],"abstract_inverted_index":{"Considering":[0],"the":[1,17,40,54,63,69,95,103,108,114,145,152,162,169,177,193],"strong":[2],"uncertainty":[3,33,115],"in":[4,134,151,192],"ball":[5],"mills,":[6],"cloud":[7,36,78,119,139,182],"model":[8,37,120],"which":[9],"combines":[10],"fuzziness":[11],"and":[12,15,42,62,94,113,132,186],"randomness":[13],"together":[14],"has":[16],"ability":[18],"of":[19,35,44,53,71,87,147,154,164,171,195],"processing":[20],"uncertainty,":[21],"is":[22,81,111,121,125,140,183],"introduced.":[23],"The":[24,157],"paper":[25],"proposes":[26],"a":[27,72],"novel":[28],"soft":[29],"sensor":[30],"based":[31,117,179],"on":[32,118,180],"reasoning":[34,116],"to":[38,83,102,127,142],"improve":[39],"accuracy":[41,163],"reliability":[43],"fill":[45,92,104],"level":[46,105],"measurement.":[47],"At":[48],"first,":[49],"power":[50],"spectral":[51],"densities":[52],"vibration":[55],"signals":[56],"are":[57,65,99],"extracted":[58],"by":[59,67],"Welch\u2019s":[60],"method":[61,166,178],"features":[64],"obtained":[66],"summing":[68],"energy":[70],"wide":[73],"frequency":[74],"band.":[75],"Then":[76],"backward":[77],"generator":[79],"algorithm":[80],"used":[82],"represent":[84],"numerical":[85],"characteristics":[86],"antecedent":[88],"clouds":[89,98],"under":[90],"different":[91],"levels,":[93],"corresponding":[96],"consequent":[97],"given":[100],"according":[101],"information.":[106],"Thus,":[107],"rule":[109,149],"base":[110,150],"built":[112],"realized.":[122],"As":[123],"it":[124],"difficult":[126],"obtain":[128],"data":[129],"set":[130],"continuously":[131],"accurately":[133],"practical":[135],"industry":[136],"fields,":[137],"virtual":[138,181],"employed":[141],"deal":[143],"with":[144,189],"problem":[146],"sparse":[148],"case":[153,194],"insufficient":[155,196],"samples.":[156,197],"experimental":[158],"results":[159],"show":[160],"that":[161],"proposed":[165],"can":[167],"meet":[168],"requirements":[170],"field":[172],"measurement":[173],"applications.":[174],"In":[175],"addition,":[176],"more":[184],"accurate":[185],"robust":[187],"compared":[188],"other":[190],"methods":[191]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}