{"id":"https://openalex.org/W3006249261","doi":"https://doi.org/10.1109/icce-tw46550.2019.8991863","title":"A Smart Real-Time Monitoring System for Fault-Diagnosis of Ball-Bearing","display_name":"A Smart Real-Time Monitoring System for Fault-Diagnosis of Ball-Bearing","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W3006249261","doi":"https://doi.org/10.1109/icce-tw46550.2019.8991863","mag":"3006249261"},"language":"en","primary_location":{"id":"doi:10.1109/icce-tw46550.2019.8991863","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-tw46550.2019.8991863","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5057193783","display_name":"Chin\u2010Sheng Chen","orcid":"https://orcid.org/0000-0001-7060-1344"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chin-Sheng Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012022471","display_name":"Yu-Chang Ke","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu-Chang Ke","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112521923","display_name":"Lap-Mou Tam","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lap-Mou Tam","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5088253956","display_name":"Shih-Yu Li","orcid":"https://orcid.org/0000-0002-9987-1724"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shih-Yu Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9909999966621399,"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":0.9909999966621399,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9794999957084656,"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/T10320","display_name":"Neural Networks and Applications","score":0.9602000117301941,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.697348952293396},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.6712035536766052},{"id":"https://openalex.org/keywords/ball","display_name":"Ball (mathematics)","score":0.5683662295341492},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5642030835151672},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.533557653427124},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49884676933288574},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.461204469203949},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4597809910774231},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4518890976905823},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.44972893595695496},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.4206872284412384},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4016706347465515},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.393116295337677},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35265734791755676},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2024233341217041},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11857771873474121}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.697348952293396},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.6712035536766052},{"id":"https://openalex.org/C122041747","wikidata":"https://www.wikidata.org/wiki/Q838611","display_name":"Ball (mathematics)","level":2,"score":0.5683662295341492},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5642030835151672},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.533557653427124},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49884676933288574},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.461204469203949},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4597809910774231},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4518890976905823},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.44972893595695496},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.4206872284412384},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4016706347465515},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.393116295337677},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35265734791755676},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2024233341217041},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11857771873474121},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-tw46550.2019.8991863","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-tw46550.2019.8991863","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2000911430","https://openalex.org/W2036356861","https://openalex.org/W2063482403","https://openalex.org/W2114235274","https://openalex.org/W2153428002","https://openalex.org/W2342930037","https://openalex.org/W2416840908","https://openalex.org/W2606013989","https://openalex.org/W2733145042","https://openalex.org/W2774375709","https://openalex.org/W2779140359","https://openalex.org/W2797016435","https://openalex.org/W2892457257","https://openalex.org/W2907140592","https://openalex.org/W2908581331","https://openalex.org/W6740864119","https://openalex.org/W6750368984"],"related_works":["https://openalex.org/W2035937180","https://openalex.org/W3196220745","https://openalex.org/W2061308401","https://openalex.org/W4311624988","https://openalex.org/W4232403546","https://openalex.org/W2004708907","https://openalex.org/W2377429601","https://openalex.org/W2364348613","https://openalex.org/W2386043911","https://openalex.org/W2351803610"],"abstract_inverted_index":{"In":[0,63],"this":[1,64],"paper,":[2,65],"a":[3,66],"smart":[4,67],"real-time":[5],"monitoring":[6],"system":[7,129],"is":[8,32,71,134,145],"developed,":[9,72],"which":[10,42,104],"attempts":[11],"to":[12,33,47,111],"produce":[13],"key":[14],"features":[15,38],"for":[16,29,58,99,123,136,154],"different":[17,92],"kinds":[18],"of":[19,53,89,101],"sensing":[20,49],"targets":[21],"via":[22],"applying":[23],"chaos":[24],"mapping":[25],"strategy.":[26],"Traditional":[27],"way":[28],"machine":[30,68],"learning":[31],"extract":[34],"and":[35,51,86,93,147],"select":[36],"those":[37,74],"from":[39],"original":[40,113],"signals,":[41],"requires":[43],"domain":[44],"knowledge":[45],"related":[46],"the":[48,142,150],"targets,":[50],"many":[52],"statistics":[54],"approaches":[55],"are":[56,77,105],"necessary":[57],"further":[59,121],"selecting":[60],"high-correlated":[61],"features.":[62],"with":[69,130],"feature-production":[70],"where":[73,149],"measured":[75],"signals":[76,114],"mapped":[78],"into":[79],"chaotic":[80],"domain.":[81],"Through":[82],"properly":[83],"parameters":[84],"adjusting":[85],"autonomous":[87],"optimization":[88],"feature":[90],"values,":[91],"obvious":[94],"key-features":[95],"can":[96,119,157],"be":[97,120,158],"obtained":[98],"each":[100],"distinct":[102,132],"states,":[103],"clear":[106],"as":[107,109],"well":[108],"unique":[110],"their":[112],"properties.":[115],"Finally,":[116],"simple":[117],"criteria":[118],"defined":[122],"states":[124,133,155],"classifications.":[125],"The":[126,138],"classical":[127],"ball-bearing":[128],"four":[131],"illustrated":[135],"investigations.":[137],"experiment":[139],"results":[140],"reveal":[141],"proposed":[143],"strategy":[144],"effective":[146],"feasible,":[148],"high":[151],"accuracy":[152],"rate":[153],"classifications":[156],"achieved.":[159]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}