Methods for Advanced Wind Turbine Condition Monitoring and Early Diagnosis: A Literature Review

• Main Authors: Md Liton Hossain, Ahmed Abu-Siada, S. M. Muyeen
• Format: Article
• Language: English
• Published: MDPI AG 2018-05-01
• Series: Energies
• Subjects: wind turbine; condition monitoring; fault diagnosis; signals; signal processing methods
• Online Access: http://www.mdpi.com/1996-1073/11/5/1309

Condition monitoring and early fault diagnosis for wind turbines have become essential industry practice as they help improve wind farm reliability, overall performance and productivity. If not detected and rectified at early stages, some faults can be catastrophic with significant loss or revenue along with interruption to the business relying mainly on wind energy. The failure of Wind turbine results in system downtime and repairing or replacement expenses that significantly reduce the annual income. Such failures call for more systematized operation and maintenance schemes to ensure the reliability of wind energy conversion systems. Condition monitoring and fault diagnosis systems of wind turbine play an important role in reducing maintenance and operational costs and increase system reliability. This paper is aimed at providing the reader with the overall feature for wind turbine condition monitoring and fault diagnosis which includes various potential fault types and locations along with the signals to be analyzed with different signal processing methods.