Determination of the combined vibrational and acoustic emission signature of a wind turbine gearbox and generator shaft in service as a pre-requisite for effective condition monitoring

RENEWABLE ENERGY

卷:51

Article

Soua, Slim¹  Van Lieshout, Paul²  Gan, Tat-Hean¹  Bridge, Bryan¹ 

[1] TWI, NDT Grp, Cambridge CB21 6AL, England

[2] SKM, Newcastle Upon Tyne NE1 6SU, Tyne & Wear, England

关键词: Signature of healthy wind turbine;    Condition monitoring;    Acoustic emission;    Vibration;    Gearbox;    Probability of detection;   

DOI  :  10.1016/j.renene.2012.07.004

来源: Elsevier

【 摘 要 】

A review of current progress in Condition Monitoring (CM) of wind turbine gearboxes and generators is presented, as an input to the design of a new continuous CM system with automated warnings based on a combination of vibrational and Acoustic Emission (AE) analysis. For wind turbines, existing reportage on vibrational monitoring is restricted to a few case histories whilst data on AE is even scarcer. In contrast, this paper presents combined vibration and AE monitoring performed over a continuous period of 5 days on a wind turbine. The vibrational and AE signatures for a healthy wind turbine gearbox and generator were obtained as a function of wind speed and turbine power, for the full normal range of these operational variables. i.e. 5-25 m/s and 0-300 kW respectively. The signatures have been determined as a vital pre-requisite for the identification of abnormal signatures attributable to shaft and gearbox defects. Worst-case standard deviations have been calculated for the sensor data. These standard deviations determine the minimum defect signal that could be detected within the defined time interval without false alarms in an automated warning system. (C) 2012 Elsevier Ltd. All rights reserved.

【 授权许可】

Free