Real-time monitoring, prognosis, and resilient control for wind turbine systems

Zhiwei Gao, Shuangwen Sheng

Research output: Contribution to journalArticlepeer-review

25 Citations (Scopus)
12 Downloads (Pure)

Abstract

Wind turbine is a complex system composed of a variety of subsystems such as blade, gear box, drive train, generator, power converters, control unit etc., which brings challenge to do real-time monitoring, diagnosis and resilient control from a system level. Furthermore, wind farms are generally composed of tens and hundreds of wind turbines, which are even more challenging to do monitoring, prognosis and resilient control due to the nature of multi-agents and distribution. This special issue aims to provide a platform for academic and industrial communities to report recent results and emerging research direction in real-time monitoring, fault diagnosis, prognosis and resilient control and design for wind turbine systems.
Original languageEnglish
Pages (from-to)1-4
Number of pages4
JournalRenewable Energy
Volume116
Early online date21 Oct 2017
DOIs
Publication statusPublished - 1 Feb 2018

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