Electrical signature analysis based condition monitoring and diagnostics techniques for wind turbines

Wind power has become the most important component of renewable energy with advances in technology in recent years. Reducing operations and maintenance cost effectively and detecting the fault timely for wind turbines are critical to expand wind power use. Due to difficult access and harsh environme...

Full description

Saved in:
Bibliographic Details
Published in2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) pp. 338 - 345
Main Authors Pinjia Zhang, Delong Lu, Salem, Sam
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2017
Subjects
bearing
blade
Blades
Condition monitoring
electrical signature analysis
fault diagnosis
gearbox
generator
Generators
Monitoring
Sensors
Vibrations
Wind turbine
Wind turbines
Online AccessGet full text

Cover

More Information
Summary:Wind power has become the most important component of renewable energy with advances in technology in recent years. Reducing operations and maintenance cost effectively and detecting the fault timely for wind turbines are critical to expand wind power use. Due to difficult access and harsh environment, offshore wind turbines have more urgent need for reducing operations and maintenance costs. This paper reviews typical failure modes of wind turbines and compares condition monitoring and diagnostics techniques for wind turbines based on electrical signature analysis with conventional analysis. With less demand for sensors, electrical signature analysis techniques is the key to promote wind industry.
DOI:10.1109/DEMPED.2017.8062377