IoT-Based Prognostics and Systems Health Management for Industrial Applications
Cited 0 times inCited 0 times in
- IoT-Based Prognostics and Systems Health Management for Industrial Applications
- Kwon, Daeil; Hodkiewicz, Melinda; Fan, Jiajie; Shibutani, Tadahiro; Pecht, Michael G.
- Internet of things; maintenance; prognostics and systems health management; reliability; remaining useful life
- Issue Date
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- IEEE ACCESS, v.4, no., pp.3659 - 3670
- 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.
- ; Go to Link
Appears in Collections:
- DHE_Journal Papers
can give you direct access to the published full text of this article. (UNISTARs only)
Show full item record
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.