Arid
DOI10.1088/1742-6596/364/1/012132
Statistical and time domain signal analysis of the thermal behaviour of wind turbine drive train components under dynamic operation conditions
Nienhaus, K.; Hilbert, M.; Baltes, R.; Bernet, C.
通讯作者Hilbert, M.
会议名称25th International Congress on Condition Monitoring and Diagnostic Engineering (COMADEM)
会议日期JUN 18-20, 2012
会议地点Huddersfield, ENGLAND
英文摘要

Gearboxes and generators are fundamental components of all electrical machines and the backbone of all electricity generation. Since the wind energy represents one of the key energy sources of the future, the number of wind turbines installed worldwide is rapidly increasing. Unlike in the past wind turbines are more often positioned in arctic as well as in desert like regions, and thereby exposed to harsh environmental conditions. Especially the temperature in those regions is a key factor that defines the design and choice of components and materials of the drive train. To optimize the design and health monitoring under varying temperatures it is important to understand the thermal behaviour dependent on environmental and machine parameters. This paper investigates the behaviour of the stator temperature of the double fed induction generator of a wind turbine. Therefore, different scenarios such as start of the turbine after a long period of no load, stop of the turbine after a long period of full load and others are isolated and analysed. For each scenario the dependences of the temperature on multiple wind turbine parameters such as power, speed and torque are studied. With the help of the regression analysis for multiple variables, it is pointed out which parameters have high impact on the thermal behaviour. Furthermore, an analysis was done to study the dependences in the time domain. The research conducted is based on 10 months of data of a 2 MW wind turbine using an adapted data acquisition system for high sampled data. The results appear promising, and lead to a better understanding of the thermal behaviour of a wind turbine drive train. Furthermore, the results represent the base of future research of drive trains under harsh environmental conditions, and it can be used to improve the fault diagnosis and design of electrical machines.


来源出版物25TH INTERNATIONAL CONGRESS ON CONDITION MONITORING AND DIAGNOSTIC ENGINEERING (COMADEM 2012)
ISSN1742-6588
EISSN1742-6596
出版年2012
卷号364
EISBN*****************
出版者IOP PUBLISHING LTD
类型Proceedings Paper
语种英语
国家Germany
收录类别CPCI-S
WOS记录号WOS:000307707100132
WOS类目Physics, Applied ; Physics, Multidisciplinary
WOS研究方向Physics
资源类型会议论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/300722
作者单位Rhein Westfal TH Aachen, Inst Min & Met Machinery, D-52056 Aachen, Germany
推荐引用方式
GB/T 7714
Nienhaus, K.,Hilbert, M.,Baltes, R.,et al. Statistical and time domain signal analysis of the thermal behaviour of wind turbine drive train components under dynamic operation conditions[C]:IOP PUBLISHING LTD,2012.
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