{"id":"https://openalex.org/W4367184503","doi":"https://doi.org/10.1115/1.4062425","title":"Fuzzy Recurrence Plots for Shallow Learning-Based Blockage Detection in a Centrifugal Pump Using Pre-Trained Image Recognition Models","display_name":"Fuzzy Recurrence Plots for Shallow Learning-Based Blockage Detection in a Centrifugal Pump Using Pre-Trained Image Recognition Models","publication_year":2023,"publication_date":"2023-04-27","ids":{"openalex":"https://openalex.org/W4367184503","doi":"https://doi.org/10.1115/1.4062425"},"language":"en","primary_location":{"id":"doi:10.1115/1.4062425","is_oa":false,"landing_page_url":"https://doi.org/10.1115/1.4062425","pdf_url":null,"source":{"id":"https://openalex.org/S173178594","display_name":"Journal of Computing and Information Science in Engineering","issn_l":"1530-9827","issn":["1530-9827","1944-7078"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316053","host_organization_name":"ASM International","host_organization_lineage":["https://openalex.org/P4310316053"],"host_organization_lineage_names":["ASM International"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing and Information Science in 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/A5083460240","display_name":"Nagendra Singh Ranawat","orcid":"https://orcid.org/0000-0003-2498-967X"},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Nagendra Singh Ranawat","raw_affiliation_strings":["Indian Institute of Technology Indore System Dynamics Lab, Department of Mechanical Engineering, , Indore, Madhya Pradesh 453552 , India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Indore System Dynamics Lab, Department of Mechanical Engineering, , Indore, Madhya Pradesh 453552 , India","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100924456","display_name":"Jatin Prakash","orcid":null},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jatin Prakash","raw_affiliation_strings":["Indian Institute of Technology Indore System Dynamics Lab, Department of Mechanical Engineering, , Indore, Madhya Pradesh 453552 , India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Indore System Dynamics Lab, Department of Mechanical Engineering, , Indore, Madhya Pradesh 453552 , India","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011170286","display_name":"Ankur Miglani","orcid":"https://orcid.org/0000-0001-5230-8216"},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ankur Miglani","raw_affiliation_strings":["Indian Institute of Technology Microfluidics and Droplet Dynamics Lab, Department of Mechanical Engineering, Indore, Indore, Madhya Pradesh 453552 , India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Microfluidics and Droplet Dynamics Lab, Department of Mechanical Engineering, Indore, Indore, Madhya Pradesh 453552 , India","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019041685","display_name":"Pavan Kumar Kankar","orcid":"https://orcid.org/0000-0001-6597-949X"},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pavan Kumar Kankar","raw_affiliation_strings":["Indian Institute of Technology Indore System Dynamics Lab, Department of Mechanical Engineering, , Indore, Madhya Pradesh 453552 , India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Indore System Dynamics Lab, Department of Mechanical Engineering, , Indore, Madhya Pradesh 453552 , India","institution_ids":["https://openalex.org/I64295750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083460240"],"corresponding_institution_ids":["https://openalex.org/I64295750"],"apc_list":null,"apc_paid":null,"fwci":1.5419,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.79892268,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"23","issue":"5","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11220","display_name":"Water Systems and Optimization","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11202","display_name":"Cavitation Phenomena in Pumps","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T14319","display_name":"Currency Recognition and Detection","score":0.9679999947547913,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7516851425170898},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7179886102676392},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.646848738193512},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5713322162628174},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5263339877128601},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.5130792856216431},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5102393627166748},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5030073523521423},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.49426770210266113},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4447922706604004},{"id":"https://openalex.org/keywords/quadratic-classifier","display_name":"Quadratic classifier","score":0.4338570833206177},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3201959431171417}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7516851425170898},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7179886102676392},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.646848738193512},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5713322162628174},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5263339877128601},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.5130792856216431},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5102393627166748},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5030073523521423},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.49426770210266113},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4447922706604004},{"id":"https://openalex.org/C52620605","wikidata":"https://www.wikidata.org/wiki/Q7268357","display_name":"Quadratic classifier","level":3,"score":0.4338570833206177},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3201959431171417}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1115/1.4062425","is_oa":false,"landing_page_url":"https://doi.org/10.1115/1.4062425","pdf_url":null,"source":{"id":"https://openalex.org/S173178594","display_name":"Journal of Computing and Information Science in Engineering","issn_l":"1530-9827","issn":["1530-9827","1944-7078"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316053","host_organization_name":"ASM International","host_organization_lineage":["https://openalex.org/P4310316053"],"host_organization_lineage_names":["ASM International"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing and Information Science in Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W2012120314","https://openalex.org/W2041893220","https://openalex.org/W2060666563","https://openalex.org/W2063639589","https://openalex.org/W2081681829","https://openalex.org/W2087277935","https://openalex.org/W2103386261","https://openalex.org/W2583191924","https://openalex.org/W2610288532","https://openalex.org/W2763350515","https://openalex.org/W2802648988","https://openalex.org/W2810106967","https://openalex.org/W2886428688","https://openalex.org/W2888796689","https://openalex.org/W2889018780","https://openalex.org/W2898695676","https://openalex.org/W2912803327","https://openalex.org/W2916423030","https://openalex.org/W2963159597","https://openalex.org/W2967383656","https://openalex.org/W2968171911","https://openalex.org/W2979230767","https://openalex.org/W3027772394","https://openalex.org/W3043549151","https://openalex.org/W3048958729","https://openalex.org/W3096138212","https://openalex.org/W3135267216","https://openalex.org/W3148632146","https://openalex.org/W3150079241","https://openalex.org/W3154112484","https://openalex.org/W3156958513","https://openalex.org/W3177392932","https://openalex.org/W3188514081","https://openalex.org/W3191344932","https://openalex.org/W3201613656","https://openalex.org/W3201841267","https://openalex.org/W3212139409","https://openalex.org/W3212570420","https://openalex.org/W4206123500","https://openalex.org/W4212816989","https://openalex.org/W4220904688","https://openalex.org/W4221100204","https://openalex.org/W4280585580","https://openalex.org/W4280602991","https://openalex.org/W4282039833","https://openalex.org/W4292598946","https://openalex.org/W4304184616","https://openalex.org/W4306165728","https://openalex.org/W4307108459","https://openalex.org/W4311048049","https://openalex.org/W4311404181","https://openalex.org/W4312204910","https://openalex.org/W4315784980","https://openalex.org/W4353057113","https://openalex.org/W6672442034","https://openalex.org/W6766851179"],"related_works":["https://openalex.org/W2113454941","https://openalex.org/W2951122819","https://openalex.org/W4288315282","https://openalex.org/W2350751952","https://openalex.org/W2362114017","https://openalex.org/W1999647744","https://openalex.org/W2088711785","https://openalex.org/W3147024994","https://openalex.org/W4285246984","https://openalex.org/W2075660794"],"abstract_inverted_index":{"Abstract":[0],"Rags,":[1],"dusts,":[2],"foreign":[3],"particles,":[4],"etc.,":[5],"are":[6,42,56,72,79,96],"the":[7,13,18,122,148,155,166,170,175],"primary":[8],"cause":[9],"of":[10,35,69,125,134,147,163,174],"blockage":[11,145,188],"in":[12],"centrifugal":[14],"pump":[15,187],"and":[16,25,32,44,66,111,191],"deteriorate":[17],"performance.":[19],"This":[20],"study":[21,116,180],"elaborates":[22],"an":[23,161,182],"experimental":[24],"data-driven":[26],"methodology":[27,140],"to":[28,58,98,185],"identify":[29,186],"suction,":[30],"discharge,":[31],"simultaneous":[33],"occurrence":[34],"both":[36],"blockages.":[37],"The":[38,48,90,115,150],"discharge":[39],"pressure":[40],"signals":[41,55],"acquired":[43],"denoised":[45,54],"using":[46,60,129,189],"CEEMD.":[47],"fuzzy":[49],"recurrence":[50],"plots":[51],"obtained":[52],"from":[53,81,93,131,169],"attempted":[57],"classify":[59],"three":[61],"pre-trained":[62,190],"models:":[63],"Xception,":[64],"GoogleNet,":[65],"Inception.":[67],"None":[68],"these":[70],"models":[71],"trained":[73,128],"on":[74],"such":[75],"images;":[76],"thus,":[77],"features":[78,88,91,130,167],"extracted":[80,92,168],"different":[82,94],"pooling":[83,133,172],"layers":[84,95],"which":[85],"include":[86],"shallow":[87,100,158,192],"too.":[89],"fed":[97],"four":[99],"learning":[101],"classifiers:":[102],"Quadratic":[103],"SVM,":[104],"Weighted":[105],"k-nearest":[106],"network,":[107,110],"Narrow":[108],"Neural":[109],"subspace":[112,119,151],"discriminant":[113,120,152],"classifier.":[114],"finds":[117],"that":[118],"achieves":[121],"highest":[123],"accuracy":[124,162],"97.8%":[126],"when":[127],"second":[132],"Xception":[135,176],"model.":[136,177],"Furthermore,":[137],"this":[138,179],"proposed":[139],"is":[141],"implemented":[142],"at":[143],"other":[144,156],"conditions":[146],"pump.":[149],"analysis":[153],"outperforms":[154],"selected":[157],"classifier":[159],"with":[160],"93%":[164],"for":[165],"first":[171],"layer":[173],"Therefore,":[178],"demonstrates":[181],"efficient":[183],"method":[184],"classifiers.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
