IoT-Based Prognostics and Systems Health Management for Industrial Applications

IEEE Access

Michael G. Pecht¹  Jiajie Fan²  Daeil Kwon³  Melinda R. Hodkiewicz⁴  Tadahiro Shibutani⁵ 

[1] Center for Advanced Life Cycle Engineering, University of Maryland, College Park, MD, USA;College of Mechanical and Electrical Engineering, Hohai University, Changzhou, China;Department of System Design and Control Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea;Faculty of Engineering, Computing and Mathematics, The University of Western Australia, Crawley, WA, Australia;Institute of Advanced Sciences, Yokohama National University, Yokohama, Japan;

关键词: Internet of things;    maintenance;    prognostics and systems health management;    reliability;    remaining useful life;   

DOI  :  10.1109/ACCESS.2016.2587754

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown