Diagnostics of stator winding failures in wind turbine pitch motors using Vold-Kalman filter
- Resource Type
- Conference
- Authors
- Kandukuri, Surya Teja; Huynh, Van Khang; Robbersmyr, Kjell G.
- Source
- IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society Industrial Electronics Society, IECON 2019 - 45th Annual Conference of the IEEE. 1:5992-5997 Oct, 2019
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Induction motors
Permanent magnet motors
Synchronous motors
Wind turbines
Fault detection
Stator windings
Maintenance engineering
pitch systems
diagnostics
extended Park's vector
Vold-Kalman filters
- Language
- ISSN
- 2577-1647
Pitch systems are among the most failure-prone components in wind turbines. Winding failures in pitch motors are common due to high start-up loads and poor ventilation. This article presents a diagnostics scheme that can detect the stator winding failures in the pitch motors under time-varying speed and load conditions. The proposed approach based on three-phase motor currents can be directly integrated into the motor drive and can be used for induction as well as permanent magnet synchronous machines. The extended Park's vector calculated on the motor currents is order tracked based on the supply frequency from the drive using Vold-Kalman filter. The approach is shown to be robust under arbitrary load and speed variations in a laboratory setup of a pitch drive.