IoT-Based Prognostics and Systems Health Management for Industrial Applications

D. Kwon; Melinda Hodkiewicz; J. Fan; T. Shibutani; M.G. Pecht

doi:10.1109/ACCESS.2016.2587754

IoT-Based Prognostics and Systems Health Management for Industrial Applications

D. Kwon, Melinda Hodkiewicz, J. Fan, T. Shibutani, M.G. Pecht

Research output: Contribution to journal › Article › peer-review

130 Citations (Scopus)

Abstract

© 2013 IEEE.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.

Original language	English
Pages (from-to)	3659-3670
Journal	IEEE Access
Volume	4
DOIs	https://doi.org/10.1109/ACCESS.2016.2587754
Publication status	Published - 25 Jul 2016

Access to Document

10.1109/ACCESS.2016.2587754Licence: Unspecified

1 Finished

ARC ITRH for Offshore Floating Facilities
Watson, P., Cassidy, M., Efthymiou, M., Ivey, G., Jones, N., Cheng, L., Draper, S., Zhao, M., Randolph, M., Gaudin, C., O'Loughlin, C., Hodkiewicz, M., Cripps, E., Zhao, W., Wolgamot, H., White, D., Doherty, J., Taylor, P., Stanier, S. & Gourvenec, S.
Australian Research Council
1/01/14 → 30/12/21
Project: Research

Cite this

@article{63013f6f26ba42c28aa0c7684aec26f7,

title = "IoT-Based Prognostics and Systems Health Management for Industrial Applications",

abstract = "{\textcopyright} 2013 IEEE.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.",

author = "D. Kwon and Melinda Hodkiewicz and J. Fan and T. Shibutani and M.G. Pecht",

year = "2016",

month = jul,

day = "25",

doi = "10.1109/ACCESS.2016.2587754",

language = "English",

volume = "4",

pages = "3659--3670",

journal = "IEEE Access",

issn = "2169-3536",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

}

TY - JOUR

T1 - IoT-Based Prognostics and Systems Health Management for Industrial Applications

AU - Kwon, D.

AU - Hodkiewicz, Melinda

AU - Fan, J.

AU - Shibutani, T.

AU - Pecht, M.G.

PY - 2016/7/25

Y1 - 2016/7/25

N2 - © 2013 IEEE.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.

AB - © 2013 IEEE.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.

U2 - 10.1109/ACCESS.2016.2587754

DO - 10.1109/ACCESS.2016.2587754

M3 - Article

VL - 4

SP - 3659

EP - 3670

JO - IEEE Access

JF - IEEE Access

SN - 2169-3536

ER -

IoT-Based Prognostics and Systems Health Management for Industrial Applications

Abstract

Access to Document

Fingerprint

Projects

ARC ITRH for Offshore Floating Facilities

Cite this