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Kwon, Daeil
IoT-based System Reliability Lab
Research Interests
  • Reliability, Prognostics and Health Management, Non-destructive Test

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IoT-Based Prognostics and Systems Health Management for Industrial Applications

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Title
IoT-Based Prognostics and Systems Health Management for Industrial Applications
Author
Kwon, DaeilHodkiewicz, MelindaFan, JiajieShibutani, TadahiroPecht, Michael G.
Keywords
Internet of things; maintenance; prognostics and systems health management; reliability; remaining useful life
Issue Date
201607
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation
IEEE ACCESS, v.4, no., pp.3659 - 3670
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.
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DOI
http://dx.doi.org/10.1109/ACCESS.2016.2587754
ISSN
2169-3536
Appears in Collections:
DHE_Journal Papers

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