Development of web-based reliability data analysis algorithm model and its application
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hwang, Seok-Won | - |
dc.contributor.author | Oh, Ji-Yong | - |
dc.contributor.author | Moosung Jae | - |
dc.date.accessioned | 2022-12-20T19:10:49Z | - |
dc.date.available | 2022-12-20T19:10:49Z | - |
dc.date.created | 2022-08-27 | - |
dc.date.issued | 2010-02 | - |
dc.identifier.issn | 0306-4549 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/175509 | - |
dc.description.abstract | For this study, a database model of plant reliability was developed for the effective acquisition and management of plant-specific data that can be used in various applications of plant programs as well as in Probabilistic Safety Assessment (PSA). Through the development of a web-based reliability data analysis algorithm, this approach systematically gathers specific plant data such as component failure history, maintenance history, and shift diary. First. for the application of the developed algorithm, this study reestablished the raw data types, data deposition procedures and features of the Enterprise Resource Planning (ERP) system process. The component codes and system codes were standardized to make statistical analysis between different types of plants possible. This standardization contributes to the establishment of a flexible database model that allows the customization of reliability data for the various applications depending on component types and systems. In addition, this approach makes it possible for users to perform trend analyses and data comparisons for the significant plant components and systems. The validation of the algorithm is performed through a comparison of the importance measure value (Fussel-Vesely) of the mathematical calculation and that of the algorithm application. The development of a reliability database algorithm is one of the best approaches for providing systemic management of plant-specific reliability data with transparency and continuity. This proposed algorithm reinforces the relationships between raw data and application results so that it can provide a comprehensive database that offers everything from basic plant-related data to final customized data. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
dc.title | Development of web-based reliability data analysis algorithm model and its application | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Moosung Jae | - |
dc.identifier.doi | 10.1016/j.anucene.2009.10.015 | - |
dc.identifier.scopusid | 2-s2.0-74249084925 | - |
dc.identifier.wosid | 000274821800018 | - |
dc.identifier.bibliographicCitation | ANNALS OF NUCLEAR ENERGY, v.37, no.2, pp.248 - 255 | - |
dc.relation.isPartOf | ANNALS OF NUCLEAR ENERGY | - |
dc.citation.title | ANNALS OF NUCLEAR ENERGY | - |
dc.citation.volume | 37 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 248 | - |
dc.citation.endPage | 255 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Nuclear Science & Technology | - |
dc.relation.journalWebOfScienceCategory | Nuclear Science & Technology | - |
dc.subject.keywordPlus | Algorithms | - |
dc.subject.keywordPlus | Database systems | - |
dc.subject.keywordPlus | Enterprise resource planning | - |
dc.subject.keywordPlus | Quality assurance | - |
dc.subject.keywordPlus | Reliability analysis | - |
dc.subject.keywordPlus | Resource allocation | - |
dc.subject.keywordPlus | Component codes | - |
dc.subject.keywordPlus | Component failures | - |
dc.subject.keywordPlus | Data comparisons | - |
dc.subject.keywordPlus | Data type | - |
dc.subject.keywordPlus | Database algorithm | - |
dc.subject.keywordPlus | Database models | - |
dc.subject.keywordPlus | Enterprise resource planning systems | - |
dc.subject.keywordPlus | Importance measure | - |
dc.subject.keywordPlus | Mathematical calculations | - |
dc.subject.keywordPlus | Plant components | - |
dc.subject.keywordPlus | Plant data | - |
dc.subject.keywordPlus | Plant reliability | - |
dc.subject.keywordPlus | Probabilistic safety assessment | - |
dc.subject.keywordPlus | Reliability data | - |
dc.subject.keywordPlus | Reliability data analysis | - |
dc.subject.keywordPlus | Statistical analysis | - |
dc.subject.keywordPlus | System codes | - |
dc.subject.keywordPlus | Trend analysis | - |
dc.subject.keywordPlus | Data handling | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0306454909003259?via%3Dihub | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.