Title :
Condition Monitoring, Diagnosis, Prognosis, and Health Management for Wind Energy Conversion Systems
Author :
Qiao, Wei ; Zhang, Pinjia ; Chow, Mo-Yuen
Author_Institution :
Department of Electrical and Computer Engineering, College of Engineering, University of Nebraska???Lincoln, Lincoln, NE, USA
Abstract :
The articles in this special section focus on condition monitoring, diagnosis, prognosis, and information management. These technologies and applications are effective means to reduce the downtime and the maintenance cost, and to improve the reliability, capacity factor, and lifespan of wind energy conversion systems. These important issues have drawn more and more attention during the last decade, and significant research effort is being taken by both the academia and the industry to advance the technologies for the condition monitoring, diagnosis, prognosis, and health management of wind energy conversion systems. This Special Section aims to provide a platform for academic and industrial communities to report the most recent findings in this field.
Keywords :
Condition monitoring; Energy conversion; Intelligent networks; Prognostics and health management; Sensors; Special issues and sections; Synchronous generators; Wind energy;
Journal_Title :
Industrial Electronics, IEEE Transactions on
DOI :
10.1109/TIE.2015.2464785