Real-Time Monitoring, Prognosis, and Resilient Control for Wind Turbine Systems

Zhiwei Gao, Shuangwen Sheng

Research output: Contribution to journalArticlepeer-review

55 Scopus Citations

Abstract

Unexpected wind turbine faults may occur, thus, there is a high demand in improving the operation reliability, availability, and productivity of wind turbine systems. It is vital to detect and identify any kinds of potential abnormalities and faults as early as possible through real-time monitoring and fault diagnosis, predict the remaining useful life of the components via data analyses and processing, and implement resilient control and management for minimizing performance degradation and economic cost, and avoiding dangerous situations. A platform for academic and industrial communities was assessed to report recent results and emerging research in real-time monitoring, fault diagnosis, prognosis, and resilient control and design of wind turbine systems.

Original languageAmerican English
Pages (from-to)1-4
Number of pages4
JournalRenewable Energy
Volume116
Issue numberPart B
DOIs
StatePublished - Feb 2018

NREL Publication Number

  • NREL/JA-5000-70021

Keywords

  • analysis
  • fault detection
  • monitoring
  • prognosis
  • resilient control
  • wind energy
  • wind turbine

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