{"created":"2025-01-14T01:38:35.684392+00:00","id":2012244,"links":{},"metadata":{"_buckets":{"deposit":"0cec2e93-55f9-40f7-820a-77417e096232"},"_deposit":{"created_by":7,"id":"2012244","owners":[7],"pid":{"revision_id":0,"type":"depid","value":"2012244"},"status":"published"},"_oai":{"id":"oai:tokushima-u.repo.nii.ac.jp:02012244","sets":["1713853213384:1713853295607"]},"author_link":["759","1230"],"item_10001_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2024-07-24","bibliographicIssueDateType":"Issued"},"bibliographic_titles":[{"bibliographic_title":"Structural Health Monitoring","bibliographic_titleLang":"en"}]}]},"item_10001_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"This study entailed the development of a novel method for estimating the depth of wall thinning of pipes using multifrequency (30–65 kHz) reflection coefficients (MRCs) of the T(0,1) mode guided waves and a multilayer perceptron (MLP). First, this study established why MRCs are a critical feature of the input layer of the MLP for the defect depth estimation of wall thinning. Further, a mathematical model that can quickly collect large amounts of training data was used to calculate the reflection waveforms. The depths of artificial and actual wall thinning were estimated using the MLP based on the MRCs and the mathematical model. Experiments were conducted using the T(0,1) mode guided waves to obtain the MRCs for 21 artificial and 6 actual wall thinnings to estimate the defect depths. A maximum of 8347 training data points were prepared using the mathematical model. Because the optimization of the MLP strongly depended on the initial weights and biases, 100 random initial values were prepared to evaluate the average estimations and their standard deviations. The classification scheme of the MLP was used, with classification step widths of 0.5 and 0.25 mm. The correct answer rates for the 21 artificial defects were 93% with a tolerance of ±0.5 mm for the 0.5 mm classification scheme; those for the 0.25 mm classification scheme were 89%. For the six actual defects, the correct answer rates were 100% with a tolerance of ±0.5 mm for both the 0.5- and 0.25 mm classification schemes. Sufficiently high correct answer rates were obtained in all the cases.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_10001_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"SAGE Publications","subitem_publisher_language":"en"}]},"item_10001_rights_15":{"attribute_name":"権利情報","attribute_value_mlt":[{"subitem_rights":"R Katsuma, K Tada, T Iriguchi, K Seno, S Kondo, M Ishikawa, M Goka, H Nishino, Depth estimation of pipe wall thinning using multifrequency reflection coefficients of T(0,1) mode-guided waves with supervised multilayer perceptron, Structural Health Monitoring. Copyright © 2024 The Author(s). DOI: 10.1177/14759217241249240.","subitem_rights_language":"en"}]},"item_10001_source_id_9":{"attribute_name":"収録物ID","attribute_value_mlt":[{"subitem_source_identifier":"14759217","subitem_source_identifier_type":"ISSN"},{"subitem_source_identifier":"17413168","subitem_source_identifier_type":"ISSN"},{"subitem_source_identifier":"AA11823338","subitem_source_identifier_type":"NCID"}]},"item_10001_version_type_20":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_ab4af688f83e57aa","subitem_version_type":"AM"}]},"item_1715043197608":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access"}]},"item_1722929371688":{"attribute_name":"出版社版DOI","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_language":"ja","subitem_relation_name_text":"10.1177/14759217241249240"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.1177/14759217241249240","subitem_relation_type_select":"DOI"}}]},"item_1723180141928":{"attribute_name":"EID","attribute_value_mlt":[{"subitem_identifier_type":"URI","subitem_identifier_uri":"413245"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"カツマ, リュウジン","creatorNameLang":"ja"},{"creatorName":"カツマ, リュウジン","creatorNameLang":"ja-Kana"},{"creatorName":"Katsuma, Ryujin","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"タダ, コウキ","creatorNameLang":"ja"},{"creatorName":"タダ, コウキ","creatorNameLang":"ja-Kana"},{"creatorName":"Tada, Koki","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"イリグチ, トモヤ","creatorNameLang":"ja"},{"creatorName":"イリグチ, トモヤ","creatorNameLang":"ja-Kana"},{"creatorName":"Iriguchi, Tomoya","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"セノオ, コタロウ","creatorNameLang":"ja"},{"creatorName":"セノオ, コタロウ","creatorNameLang":"ja-Kana"},{"creatorName":"Seno, Kotaro","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"コンドウ, シンスケ","creatorNameLang":"ja"},{"creatorName":"コンドウ, シンスケ","creatorNameLang":"ja-Kana"},{"creatorName":"Kondo, Shinsuke","creatorNameLang":"en"}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[{"affiliationNameIdentifier":"","affiliationNameIdentifierScheme":"ISNI","affiliationNameIdentifierURI":"http://www.isni.org/isni/"}],"affiliationNames":[{"affiliationName":"","affiliationNameLang":"ja"}]}],"creatorNames":[{"creatorName":"石川, 真志","creatorNameLang":"ja"},{"creatorName":"イシカワ, マサシ","creatorNameLang":"ja-Kana"},{"creatorName":"Ishikawa, Masashi","creatorNameLang":"en"}],"familyNames":[{"familyName":"石川","familyNameLang":"ja"},{"familyName":"イシカワ","familyNameLang":"ja-Kana"},{"familyName":"Ishikawa","familyNameLang":"en"}],"givenNames":[{"givenName":"真志","givenNameLang":"ja"},{"givenName":"マサシ","givenNameLang":"ja-Kana"},{"givenName":"Masashi","givenNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"759","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"291071/profile-ja.html","nameIdentifierScheme":"徳島大学 教育研究者総覧","nameIdentifierURI":"http://pub2.db.tokushima-u.ac.jp/ERD/person/291071/profile-ja.html"},{"nameIdentifier":"10635254","nameIdentifierScheme":"e-Rad","nameIdentifierURI":"https://nrid.nii.ac.jp/ja/search/?qm=10635254"}]},{"creatorNames":[{"creatorName":"ゴカ, モトキ","creatorNameLang":"ja"},{"creatorName":"ゴカ, モトキ","creatorNameLang":"ja-Kana"},{"creatorName":"Goka, 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thinning","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"artificial intelligence","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"supervised machine learning","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"multilayer perceptron","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Depth estimation of pipe wall thinning using multifrequency reflection coefficients of T(0,1) mode-guided waves with supervised multilayer perceptron","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Depth estimation of pipe wall thinning using multifrequency reflection coefficients of T(0,1) mode-guided waves with supervised multilayer perceptron","subitem_title_language":"en"}]},"item_type_id":"40001","owner":"7","path":["1713853295607"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2024-09-20"},"publish_date":"2024-09-20","publish_status":"0","recid":"2012244","relation_version_is_last":true,"title":["Depth estimation of pipe wall thinning using multifrequency reflection coefficients of T(0,1) mode-guided waves with supervised multilayer perceptron"],"weko_creator_id":"7","weko_shared_id":-1},"updated":"2025-01-29T10:44:00.932414+00:00"}