Ieee Access Special Section Editorial:Complex System Health Management Based On Condition Monitoring And Test Data
Author(s) -
Datong Liu,
Haitao Liao,
Enrico Zio,
Qiang Miao,
Bin Zhang,
Chao Hu,
Michael H. Azarian
Publication year - 2018
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2018.2882664
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
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.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom