Current-Based Diagnosis for Gear Tooth Breaks in Wind Turbine Gearboxes

Authors

• Dingguo Lu, University of Nebraska-LincolnFollow
• Xiang Gong, University of Nebraska–LincolnFollow
• Wei Qiao, University of Nebraska–LincolnFollow

Document Type

Article

Date of this Version

2012

Citation

D. Lu, X. Gong, and W. Qiao, “Current-based diagnosis for gear tooth breaks in wind turbine gearboxes,” in Proceedings of IEEE Energy Conversion Congress and Exposition 2012 (ECCE 2012), Raleigh, NC, USA, Sept. 15-20, 2012, pp. 3780-3786.

Comments

(First Prize of the 2012 Best Paper Awards of the IEEE IAS Renewable and Sustainable Energy Conversion Systems Committee).

Abstract

Gearbox faults constitute a significant portion of all faults and downtime in wind turbines (WTs). Current-based gearbox fault diagnosis has significant advantages over traditional vibration-based techniques in terms of cost, implementation, and reliability. This paper derives a mathematical model for a WT drive train consisting of a twostage gearbox and a permanent magnet (PM) generator, from which the characteristic frequencies of gear tooth breaks in generator stator current frequency spectra are clearly identified. A adaptive signal resampling algorithm is proposed to convert the variable fault characteristic frequencies to constant values for WTs running at variable speeds. A fault detector is proposed for diagnosis of gear tooth breaks using statistical analysis on the fault signatures extracted from the stator current spectra. Experimental results on a real gearbox are provided to show the effectiveness of the proposed model and method for diagnosis of gear tooth breaks.