{"created":"2023-06-20T15:13:39.416125+00:00","id":10673,"links":{},"metadata":{"_buckets":{"deposit":"edbdc428-f6cd-4f19-9dee-0df92c0e9374"},"_deposit":{"created_by":3,"id":"10673","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"10673"},"status":"published"},"_oai":{"id":"oai:ynu.repo.nii.ac.jp:00010673","sets":["1006:1009"]},"author_link":["35764","34987","37485","37486","35765","37484","34730"],"item_2_biblio_info_8":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2020-01-22","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"156","bibliographicPageStart":"148","bibliographicVolumeNumber":"136","bibliographic_titles":[{"bibliographic_title":"Process safety and environmental protection"}]}]},"item_2_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Dealing with hazardous environments such as hydrogen poses considerable risks to property, people, and the environment. Leak frequency analysis is a method of understanding the characteristics of risks at hydrogen refueling stations (HRSs). This paper proposes leak rate estimation using time-based evaluation methods that utilize historical HRS accident information. In addition, leak frequency estimates from another two methods (non-parametric and leak-hole-size) were examined. In the non-parametric approach, the leak frequency is estimated based on a Bayesian update. The results from these three approaches are summarized to understand the trend of leak rate data. The leak rate data from the time-based method displays a similar trend to the leak size based method. However, the non-parametric method tends to be conservative due to high failure observations (new evidences) during the Bayesian update. Finally, the unrevealed leak time was calculated as a function of the leak frequency. The quantitative insights of this study can be used to set performance standards for the availability and reliability in the operation and maintenance of HRSs.","subitem_description_type":"Abstract"}]},"item_2_publisher_35":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Elsevier"}]},"item_2_relation_13":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"info:doi/10.1016/j.psep.2020.01.025","subitem_relation_type_select":"DOI"}}]},"item_2_relation_44":{"attribute_name":"関係URI","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_text":"https://doi.org/10.1016/j.psep.2020.01.025"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.1016/j.psep.2020.01.025","subitem_relation_type_select":"DOI"}}]},"item_2_source_id_11":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA10853843","subitem_source_identifier_type":"NCID"}]},"item_2_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"09575820","subitem_source_identifier_type":"ISSN"}]},"item_2_text_4":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Environment and Information Sciences, Yokohama National University"},{"subitem_text_value":"Graduate School of Environment and Information Sciences, Yokohama National University"},{"subitem_text_value":"Graduate School of Natural Science and Technology, Okayama University"},{"subitem_text_value":"Institute of Advanced Sciences, Yokohama National University"},{"subitem_text_value":"United Technologies Research Center (UTRC)"},{"subitem_text_value":"Institute of Advanced Sciences, Yokohama National University"},{"subitem_text_value":"Institute of Advanced Sciences, Yokohama National University"}]},"item_2_version_type_18":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_ab4af688f83e57aa","subitem_version_type":"AM"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kodoth, Mahesh"}],"nameIdentifiers":[{"nameIdentifier":"37484","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Aoyama, Shu"}],"nameIdentifiers":[{"nameIdentifier":"37485","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Sakamoto, Junji"}],"nameIdentifiers":[{"nameIdentifier":"35765","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"50752052","nameIdentifierScheme":"e-Rad","nameIdentifierURI":"https://kaken.nii.ac.jp/ja/search/?qm=50752052"}]},{"creatorNames":[{"creatorName":"Kasai, Naoya"}],"nameIdentifiers":[{"nameIdentifier":"34730","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"20361868","nameIdentifierScheme":"e-Rad","nameIdentifierURI":"https://kaken.nii.ac.jp/ja/search/?qm=20361868"}]},{"creatorNames":[{"creatorName":"Khalil, Yehia"}],"nameIdentifiers":[{"nameIdentifier":"37486","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Shibutani, Tadahiro"}],"nameIdentifiers":[{"nameIdentifier":"35764","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"10332644","nameIdentifierScheme":"e-Rad","nameIdentifierURI":"https://kaken.nii.ac.jp/ja/search/?qm=10332644"}]},{"creatorNames":[{"creatorName":"Miyake, Atsumi"}],"nameIdentifiers":[{"nameIdentifier":"34987","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"60174140","nameIdentifierScheme":"e-Rad","nameIdentifierURI":"https://kaken.nii.ac.jp/ja/search/?qm=60174140"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2022-01-22"}],"displaytype":"detail","filename":"Leak-Frequency-Analysis_Revised manuscript.pdf","filesize":[{"value":"894.1 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"Leak-Frequency-Analysis_Revised manuscript.pdf","url":"https://ynu.repo.nii.ac.jp/record/10673/files/Leak-Frequency-Analysis_Revised manuscript.pdf"},"version_id":"4c40038f-3ec6-4b3f-bfeb-a28fe192bf01"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Leak frequency","subitem_subject_scheme":"Other"},{"subitem_subject":"Unrevealed leak time","subitem_subject_scheme":"Other"},{"subitem_subject":"Hydrogen refueling station","subitem_subject_scheme":"Other"},{"subitem_subject":"Time-Based model","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":"Leak frequency analysis for hydrogen-based technology using bayesian and frequentist methods","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Leak frequency analysis for hydrogen-based technology using bayesian and frequentist methods"}]},"item_type_id":"2","owner":"3","path":["1009"],"pubdate":{"attribute_name":"公開日","attribute_value":"2020-06-25"},"publish_date":"2020-06-25","publish_status":"0","recid":"10673","relation_version_is_last":true,"title":["Leak frequency analysis for hydrogen-based technology using bayesian and frequentist methods"],"weko_creator_id":"3","weko_shared_id":3},"updated":"2023-06-20T17:43:12.773602+00:00"}