Ieee Access Special Section Editorial:Complex System Health Management Based On Condition Monitoring And Test Data

Datong Liu; Haitao Liao; Enrico Zio; Qiang Miao; Bin Zhang; Chao Hu; Michael H. Azarian

doi:10.1109/ACCESS.2018.2882664

IEEE Access (Jan 2018)

Ieee Access Special Section Editorial:Complex System Health Management Based On Condition Monitoring And Test Data

Datong Liu,
Haitao Liao,
Enrico Zio,
Qiang Miao,
Bin Zhang,
Chao Hu,
Michael H. Azarian

Affiliations

Datong Liu: Department of Autotest and Control, Harbin Institute of Technology, Harbin, China
Haitao Liao: Department of Industrial Engineering, University of Arkansas, Fayetteville, AR, U.S.A.
Enrico Zio
Qiang Miao: School of Aeronautics and Astronautics Sichuan University, Chengdu, China
Bin Zhang
Chao Hu
Michael H. Azarian

DOI: https://doi.org/10.1109/ACCESS.2018.2882664
Journal volume & issue: Vol. 6
pp. 72028 – 72032

Abstract

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The global manufacturing industry is facing a crucial transformation with the rapid developments of German Industries 4.0, Industrial Internet of the U.S., and China Manufacturing 2025. This transformation requires higher reliability and safety of complex systems. Therefore, intelligent diagnostic and predictive technologies are attracting more research interests as efficient solutions to improve the system reliability. The realization of system health management based on condition monitoring and testing information is of great value and significance to improve the reliability and safety of those complex systems in aeronautics, astronautics, oceanography, industrial manufacturing, new energy resources, and other fields.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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