{"id":"https://openalex.org/W2187862790","doi":"https://doi.org/10.1109/icmlc.2015.7340636","title":"Method of rock bolts parameters detection based on harmonic wavelet packet transform","display_name":"Method of rock bolts parameters detection based on harmonic wavelet packet transform","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2187862790","doi":"https://doi.org/10.1109/icmlc.2015.7340636","mag":"2187862790"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2015.7340636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2015.7340636","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Machine Learning and Cybernetics (ICMLC)","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/A5101872432","display_name":"Xiaoyun Sun","orcid":"https://orcid.org/0000-0003-2221-4424"},"institutions":[{"id":"https://openalex.org/I90090648","display_name":"Shijiazhuang Tiedao University","ror":"https://ror.org/022e9e065","country_code":"CN","type":"education","lineage":["https://openalex.org/I90090648"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiao-Yun Sun","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Shijiazhuang Tiedao University, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Shijiazhuang Tiedao University, Shijiazhuang, China","institution_ids":["https://openalex.org/I90090648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100462295","display_name":"Zhiyuan Wang","orcid":"https://orcid.org/0000-0002-7521-2150"},"institutions":[{"id":"https://openalex.org/I90090648","display_name":"Shijiazhuang Tiedao University","ror":"https://ror.org/022e9e065","country_code":"CN","type":"education","lineage":["https://openalex.org/I90090648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi-Yuan Wang","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Shijiazhuang Tiedao University, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Shijiazhuang Tiedao University, Shijiazhuang, China","institution_ids":["https://openalex.org/I90090648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058350910","display_name":"Fengning Kang","orcid":null},"institutions":[{"id":"https://openalex.org/I90090648","display_name":"Shijiazhuang Tiedao University","ror":"https://ror.org/022e9e065","country_code":"CN","type":"education","lineage":["https://openalex.org/I90090648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng-Ning Kang","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Shijiazhuang Tiedao University, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Shijiazhuang Tiedao University, Shijiazhuang, China","institution_ids":["https://openalex.org/I90090648"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102870621","display_name":"Weifang Li","orcid":"https://orcid.org/0000-0002-5387-0910"},"institutions":[{"id":"https://openalex.org/I90090648","display_name":"Shijiazhuang Tiedao University","ror":"https://ror.org/022e9e065","country_code":"CN","type":"education","lineage":["https://openalex.org/I90090648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-Fang Li","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Shijiazhuang Tiedao University, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Shijiazhuang Tiedao University, Shijiazhuang, China","institution_ids":["https://openalex.org/I90090648"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101872432"],"corresponding_institution_ids":["https://openalex.org/I90090648"],"apc_list":null,"apc_paid":null,"fwci":0.3484,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62807941,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"33","issue":null,"first_page":"678","last_page":"683"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9919000267982483,"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"}},"topics":[{"id":"https://openalex.org/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9919000267982483,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9695000052452087,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9537000060081482,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.835208535194397},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.7741846442222595},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5818291902542114},{"id":"https://openalex.org/keywords/harmonic","display_name":"Harmonic","score":0.5760585069656372},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.558347225189209},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5393450260162354},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.5368713736534119},{"id":"https://openalex.org/keywords/reflection","display_name":"Reflection (computer programming)","score":0.46801578998565674},{"id":"https://openalex.org/keywords/second-generation-wavelet-transform","display_name":"Second-generation wavelet transform","score":0.43518316745758057},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4274403750896454},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.37564074993133545},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3156372904777527},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.26992642879486084},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15380480885505676}],"concepts":[{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.835208535194397},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.7741846442222595},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5818291902542114},{"id":"https://openalex.org/C127934551","wikidata":"https://www.wikidata.org/wiki/Q1148098","display_name":"Harmonic","level":2,"score":0.5760585069656372},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.558347225189209},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5393450260162354},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.5368713736534119},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.46801578998565674},{"id":"https://openalex.org/C111350171","wikidata":"https://www.wikidata.org/wiki/Q7443700","display_name":"Second-generation wavelet transform","level":5,"score":0.43518316745758057},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4274403750896454},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.37564074993133545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3156372904777527},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26992642879486084},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15380480885505676},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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:10.1109/icmlc.2015.7340636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2015.7340636","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2003053486","https://openalex.org/W2081448670"],"related_works":["https://openalex.org/W1588899229","https://openalex.org/W2351059076","https://openalex.org/W1976022598","https://openalex.org/W2046633342","https://openalex.org/W2085792030","https://openalex.org/W4321517526","https://openalex.org/W1967182499","https://openalex.org/W2111896212","https://openalex.org/W2391053410","https://openalex.org/W2001281573"],"abstract_inverted_index":{"For":[0],"the":[1,6,8,22,42,53,63,77,90,98,114,119,124,130,140,148],"complexity":[2],"and":[3,74,89,118,123,136],"concealment":[4],"of":[5,26,49],"construction,":[7],"bolt":[9,149],"anchoring":[10],"system":[11],"has":[12,40,68],"great":[13,60],"difficulty":[14],"in":[15,45],"quality":[16,27,46],"detection.":[17],"Due":[18],"to":[19,30],"various":[20],"reasons":[21],"traditional":[23],"detection":[24],"methods":[25],"are":[28,128],"difficult":[29],"obtain":[31],"effective":[32,131],"results.":[33],"In":[34,104],"recent":[35],"years,":[36],"stress":[37],"wave":[38],"reflection":[39,54,108],"been":[41],"main":[43],"method":[44],"nondestructive":[47],"testing":[48],"rock":[50],"bolts,":[51],"but":[52],"signal":[55,64,81,100,109],"contains":[56],"noise":[57],"which":[58],"brings":[59],"inconvenience":[61],"for":[62],"analysis.":[65],"Harmonic":[66],"wavelet":[67,79,116,142,154],"a":[69,107],"strict":[70],"\"box\"":[71],"spectrum":[72],"characteristics,":[73],"by":[75,112],"using":[76,113,152],"harmonic":[78,115,153],"packet,":[80,117],"can":[82,93],"be":[83,94,102],"decomposed":[84,111],"into":[85],"different":[86],"frequency":[87,125,132],"bands":[88],"unwanted":[91],"ingredients":[92],"effectively":[95],"eliminated,":[96],"so":[97],"denoised":[99],"could":[101],"obtained.":[103],"this":[105],"paper,":[106],"is":[110,134,156],"appropriate":[120],"decomposition":[121],"layers":[122],"band":[126,133],"width":[127],"chosen,":[129],"extracted":[135],"reconstructed.":[137],"Compared":[138],"with":[139],"classical":[141],"transform,":[143],"experiment":[144],"results":[145],"show":[146],"that":[147],"parameters":[150],"accuracy":[151],"packet":[155],"improved.":[157]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
