Analysis of electrical power data for condition monitoring of a small wind turbine. Issue 4 (1st July 2013)

• Record Type: Journal Article
• Authors: Barton, John P.; Watson, Simon J.
• Is Part Of: IET renewable power generation. Volume 7:Issue 4(2013)
• Page Start: 341
• Page End: 349
• Publication Date: 2013-07-01
• Subjects: accelerometers -- condition monitoring -- data acquisition -- data analysis -- electric current measurement -- Fourier transforms -- lifting equipment -- maintenance engineering -- power generation scheduling -- power system measurement -- stators -- vibration measurement -- voltage measurement -- wavelet transforms -- wind turbines; power 25 kW -- torsional mode -- radial mode vibration frequency -- axial mode vibration frequency -- Fourier transform method -- Morlet continuous wavelet transform method -- stator winding -- Leicestershire UK -- voltage measurement -- electrical current measurement -- data acquisition system -- drive train -- mechanical component -- accelerometer -- turbine downtime reduction -- preventative maintenance -- catastrophic failure -- heavy lifting equipment -- gearbox -- small onshore wind turbine -- condition monitoring -- electrical power data analysis software; Renewable energy sources -- Periodicals; 333.79405
• DOI: 10.1049/iet-rpg.2012.0326
• Languages: English
• ISSNs: 1752-1416

Abstract

Abstract : Certain parts of a wind turbine, for example, the gearbox require significant time and heavy lifting equipment in the event of catastrophic failure necessitating replacement. Continuous condition monitoring has the potential to catch problems early, enable scheduled preventative maintenance and thereby reduce turbine downtime, reduce the number of site visits and prevent secondary damage. Accelerometers applied to mechanical components of the drive train are traditionally used for condition monitoring, but require their own data acquisition system and analysis software. In contrast, the electrical current and voltage are continuously measured and could also be used for condition monitoring more cheaply. An experimental data acquisition system has been installed on a small (25 kW) onshore turbine in Leicestershire, UK to compare three‐phase currents and voltages on the stator windings with six accelerometer signals. Data have been recorded before and after a gearbox failure and replacement. Data were analysed using both Fourier transform and Morlet continuous wavelet transform methods. Results show that the stator voltages show the same radial and axial mode vibration frequencies as the accelerometers, and could therefore be used for condition monitoring. Furthermore, the stator currents show torsional modes of vibration not picked up by the accelerometers.