{"id":"https://openalex.org/W7225418868","doi":"https://doi.org/10.3390/pr14213586","title":"Switching Stabilization and Transient Artifact Suppression in a Hybrid CNN-SFANC-FxNLMS Controller","display_name":"Switching Stabilization and Transient Artifact Suppression in a Hybrid CNN-SFANC-FxNLMS Controller","publication_year":2026,"publication_date":"2026-11-06","ids":{"openalex":"https://openalex.org/W7225418868","doi":"https://doi.org/10.3390/pr14213586"},"language":"en","primary_location":{"id":"doi:10.3390/pr14213586","doi":"https://doi.org/10.3390/pr14213586","is_oa":true,"landing_page_url":"https://doi.org/10.3390/pr14213586","pdf_url":null,"source":{"id":"https://openalex.org/S4210201879","display_name":"Processes","issn_l":"2227-9717","issn":["2227-9717"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Processes","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/pr14213586","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100697790","display_name":"Yanpeng Wang","orcid":"https://orcid.org/0000-0002-4320-2468","observed_orcids":["https://orcid.org/0000-0002-4320-2468"]},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanpeng Wang","raw_affiliation_strings":["School of Mechanical and Power Engineering, Henan Polytechnic University, No. 2001 Shiji Road, Jiaozuo 454003, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Power Engineering, Henan Polytechnic University, No. 2001 Shiji Road, Jiaozuo 454003, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5160536863","display_name":"Yifan Liu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Liu","raw_affiliation_strings":["School of Mechanical and Power Engineering, Henan Polytechnic University, No. 2001 Shiji Road, Jiaozuo 454003, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Power Engineering, Henan Polytechnic University, No. 2001 Shiji Road, Jiaozuo 454003, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5161036569","display_name":"Guoqiang Chen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqiang Chen","raw_affiliation_strings":["School of Mechanical and Power Engineering, Henan Polytechnic University, No. 2001 Shiji Road, Jiaozuo 454003, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Power Engineering, Henan Polytechnic University, No. 2001 Shiji Road, Jiaozuo 454003, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5161134511","display_name":"Xiangping Meng","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangping Meng","raw_affiliation_strings":["School of Mechanical and Power Engineering, Henan Polytechnic University, No. 2001 Shiji Road, Jiaozuo 454003, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Power Engineering, Henan Polytechnic University, No. 2001 Shiji Road, Jiaozuo 454003, China","institution_ids":["https://openalex.org/I4210166499"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100697790"],"corresponding_institution_ids":["https://openalex.org/I4210166499"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2896},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2896},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":"21","first_page":"3586","last_page":"3586"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10860","display_name":"Speech and Audio Processing","score":0.0008999999845400453,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12759","display_name":"Vehicle Noise and Vibration Control","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/active-noise-control","display_name":"active noise control","score":0.824999988079071},{"id":"https://openalex.org/keywords/frame-level-classification","display_name":"frame-level classification","score":0.6439999938011169},{"id":"https://openalex.org/keywords/short-time-fourier-transform","display_name":"short-time Fourier transform","score":0.8550000190734863},{"id":"https://openalex.org/keywords/aircraft-noise","display_name":"aircraft noise","score":0.7630000114440918},{"id":"https://openalex.org/keywords/traffic-noise","display_name":"traffic noise","score":0.8220000267028809}],"concepts":[{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.6811000108718872},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6406000256538391},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6308000087738037},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5860999822616577},{"id":"https://openalex.org/C2780799671","wikidata":"https://www.wikidata.org/wiki/Q17087362","display_name":"Transient (computer programming)","level":2,"score":0.5856000185012817},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.5414000153541565},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.41760000586509705},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.4009000062942505},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.387800008058548},{"id":"https://openalex.org/C2989121073","wikidata":"https://www.wikidata.org/wiki/Q1309019","display_name":"Transient analysis","level":3,"score":0.349700003862381},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.34940001368522644},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.3483999967575073},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.3416000008583069},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.32249999046325684},{"id":"https://openalex.org/C85761212","wikidata":"https://www.wikidata.org/wiki/Q1974593","display_name":"Transient response","level":2,"score":0.32100000977516174},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.29899999499320984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29679998755455017},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29649999737739563},{"id":"https://openalex.org/C50897621","wikidata":"https://www.wikidata.org/wiki/Q2665508","display_name":"Hybrid system","level":2,"score":0.288100004196167},{"id":"https://openalex.org/C93038891","wikidata":"https://www.wikidata.org/wiki/Q1061524","display_name":"Intensity (physics)","level":2,"score":0.2824999988079071},{"id":"https://openalex.org/C2987345804","wikidata":"https://www.wikidata.org/wiki/Q583234","display_name":"Noise suppression","level":3,"score":0.2791000008583069},{"id":"https://openalex.org/C100675267","wikidata":"https://www.wikidata.org/wiki/Q1371624","display_name":"Background noise","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.27649998664855957},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2639999985694885},{"id":"https://openalex.org/C8171440","wikidata":"https://www.wikidata.org/wiki/Q903414","display_name":"Steady state (chemistry)","level":2,"score":0.2574999928474426},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2574000060558319}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3390/pr14213586","doi":"https://doi.org/10.3390/pr14213586","is_oa":true,"landing_page_url":"https://doi.org/10.3390/pr14213586","pdf_url":null,"source":{"id":"https://openalex.org/S4210201879","display_name":"Processes","issn_l":"2227-9717","issn":["2227-9717"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Processes","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3390/pr14213586","doi":"https://doi.org/10.3390/pr14213586","is_oa":true,"landing_page_url":"https://doi.org/10.3390/pr14213586","pdf_url":null,"source":{"id":"https://openalex.org/S4210201879","display_name":"Processes","issn_l":"2227-9717","issn":["2227-9717"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Processes","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1964934788","https://openalex.org/W1978257537","https://openalex.org/W2079982250","https://openalex.org/W2115433244","https://openalex.org/W2147952819","https://openalex.org/W2485043053","https://openalex.org/W2522490908","https://openalex.org/W2910124900","https://openalex.org/W2938772728","https://openalex.org/W3052755141","https://openalex.org/W3198804859","https://openalex.org/W4211264489","https://openalex.org/W4226214458","https://openalex.org/W4320905491","https://openalex.org/W4372268476","https://openalex.org/W4384376962","https://openalex.org/W4386858794","https://openalex.org/W4388688018","https://openalex.org/W4388838217","https://openalex.org/W4389317961","https://openalex.org/W4391992707","https://openalex.org/W4393294847","https://openalex.org/W4412704541","https://openalex.org/W4413423516","https://openalex.org/W4417201752","https://openalex.org/W7125607021","https://openalex.org/W7130317589"],"related_works":["https://openalex.org/W4226214458","https://openalex.org/W4388820381","https://openalex.org/W4386858794","https://openalex.org/W4393294847","https://openalex.org/W7204678876","https://openalex.org/W7223222965","https://openalex.org/W4320184234","https://openalex.org/W7155051025","https://openalex.org/W3198804859","https://openalex.org/W7213775155"],"abstract_inverted_index":{"Frame-level":[0],"classification":[1],"fluctuations":[2],"in":[3],"convolutional":[4],"neural":[5],"network":[6],"(CNN)-based":[7],"selective":[8],"fixed-filter":[9],"active":[10],"noise":[11,71],"control":[12],"(SFANC)":[13],"can":[14],"trigger":[15],"abrupt":[16],"controller-filter":[17],"switching":[18,85],"and":[19,57,69,75,97],"click/pop":[20],"transients.":[21],"This":[22],"study":[23],"proposes":[24],"a":[25,29],"switching-stabilization":[26],"strategy":[27],"for":[28],"hybrid":[30],"CNN\u2013SFANC\u2013FxNLMS":[31],"framework":[32],"that":[33],"combines":[34],"entropy-adaptive":[35],"Kalman":[36],"smoothing":[37],"of":[38],"class":[39],"decisions":[40],"with":[41,79],"coefficient-difference-dependent":[42],"linear":[43],"crossfading":[44],"(FADE50).":[45],"Switching":[46],"artifacts":[47],"are":[48],"assessed":[49],"using":[50,66],"robust":[51],"POP-event":[52],"detection,":[53],"switch-aligned":[54],"temporal":[55],"analysis,":[56],"relative":[58],"short-time":[59],"Fourier":[60],"transform":[61],"(STFT)":[62],"measures.":[63],"Numerical":[64],"tests":[65],"recorded":[67],"aircraft":[68],"traffic":[70],"cover":[72],"abrupt,":[73],"gradual,":[74],"multistage":[76],"cyclic":[77,105],"transitions,":[78],"FxNLMS":[80],"adaptation":[81],"disabled":[82],"to":[83,88,112],"isolate":[84],"effects.":[86],"Relative":[87],"RAW_HARD,":[89],"KALMAN_FADE50":[90],"reduces":[91],"representative-event":[92],"POP":[93],"intensity":[94],"by":[95,101],"92.74\u201397.84%":[96],"representative":[98],"stripe":[99],"score":[100],"94.46\u201395.09%.":[102],"In":[103],"the":[104],"scenario,":[106],"detected":[107],"events":[108],"decrease":[109],"from":[110],"892":[111],"823":[113],"(7.74%).":[114]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-11-07T00:00:00"}