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dc.citation.endPage 3670 -
dc.citation.startPage 3659 -
dc.citation.title IEEE ACCESS -
dc.citation.volume 4 -
dc.contributor.author Kwon, Daeil -
dc.contributor.author Hodkiewicz, Melinda -
dc.contributor.author Fan, Jiajie -
dc.contributor.author Shibutani, Tadahiro -
dc.contributor.author Pecht, Michael G. -
dc.date.accessioned 2023-12-21T23:37:29Z -
dc.date.available 2023-12-21T23:37:29Z -
dc.date.created 2016-08-02 -
dc.date.issued 2016-07 -
dc.description.abstract Prognostics and systems health management (PHM) is an enabling discipline that uses sensors to assess the health of systems, diagnoses anomalous behavior, and predicts the remaining useful performance over the life of the asset. The advent of the Internet of Things (IoT) enables PHM to be applied to all types of assets across all sectors, thereby creating a paradigm shift that is opening up significant new business opportunities. This paper introduces the concepts of PHM and discusses the opportunities provided by the IoT. Developments are illustrated with examples of innovations from manufacturing, consumer products, and infrastructure. From this review, a number of challenges that result from the rapid adoption of IoT-based PHM are identified. These include appropriate analytics, security, IoT platforms, sensor energy harvesting, IoT business models, and licensing approaches. -
dc.identifier.bibliographicCitation IEEE ACCESS, v.4, pp.3659 - 3670 -
dc.identifier.doi 10.1109/ACCESS.2016.2587754 -
dc.identifier.issn 2169-3536 -
dc.identifier.scopusid 2-s2.0-85000608546 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/20409 -
dc.identifier.url http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7520653 -
dc.identifier.wosid 000381468600019 -
dc.language 영어 -
dc.publisher IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC -
dc.title IoT-Based Prognostics and Systems Health Management for Industrial Applications -
dc.type Article -
dc.description.isOpenAccess TRUE -
dc.relation.journalWebOfScienceCategory Computer Science, Information Systems; Engineering, Electrical & Electronic; Telecommunications -
dc.relation.journalResearchArea Computer Science; Engineering; Telecommunications -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor Internet of things -
dc.subject.keywordAuthor maintenance -
dc.subject.keywordAuthor prognostics and systems health management -
dc.subject.keywordAuthor reliability -
dc.subject.keywordAuthor remaining useful life -
dc.subject.keywordPlus FUSION PROGNOSTICS -
dc.subject.keywordPlus MACHINERY -
dc.subject.keywordPlus MODEL -
dc.subject.keywordPlus PREDICTION -
dc.subject.keywordPlus DIAGNOSIS -
dc.subject.keywordPlus LIFE -
dc.subject.keywordPlus FRAMEWORK -

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