Condition Monitoring of Wind Turbine Planetary Gearboxes Under Different Operating Conditions

Mauricio, Alexandre; Sheng, Shuangwen; Gryllias, Konstantinos

doi:10.1115/1.4044683

Title: Condition Monitoring of Wind Turbine Planetary Gearboxes Under Different Operating Conditions

Journal Article · Thu Aug 01 00:00:00 EDT 2019 · Journal of Engineering for Gas Turbines and Power

DOI:https://doi.org/10.1115/1.4044683· OSTI ID:1567032

Mauricio, Alexandre ^[1];

^[2]; Gryllias, Konstantinos ^[1]

Katholieke Univ. Leuven, Heverlee (Belgium)
National Renewable Energy Lab. (NREL), Golden, CO (United States)

Digitally enhanced services for wind power could reduce Operations and Maintenance costs as well as the Levelised Cost Of Energy. Therefore, there is a continuous need for advanced monitoring techniques which can exploit the opportunities of Internet of Things and Big Data Analytics. The heart of wind turbines is an epicyclic gearbox and rolling element bearings are often responsible for machinery stops. The vibration signatures of bearings are rather weak compared to other components. As a result a number of signal processing techniques have been proposed, focusing towards accurate and early fault detection with limited false alarms and missed detections. In Envelope Analysis an envelope of the vibration signal is estimated usually after filtering around a frequency band. Different tools, such as Kurtogram, have been proposed to select the optimum filter parameters. Monitoring techniques have reached a mature level for steady speed and load operating conditions. On the other hand, under chaniging operating conditions, it is still unclear whether the change of the monitoring indicators is due to the change of the machinery's health or due to the change of operating parameters. Recently, the authors have proposed a new tool called IESFOgram, based on Cyclic Spectral Coherence for the automatic selection of the filtering band. In this paper, the performance of the tool is evaluated on the National Renewable Energy Laboratory wind turbine gearbox vibration condition monitoring benchmarking data set which includes various faults with different levels of diagnostic complexity as well as various speed and load operating conditions.

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Research Organization:: National Renewable Energy Lab. (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)

Grant/Contract Number:: AC36-08GO28308

OSTI ID:: 1567032

Report Number(s):: NREL/JA-5000-74369

Journal Information:: Journal of Engineering for Gas Turbines and Power, Vol. 142, Issue 3; ISSN 0742-4795

Publisher:: ASMECopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 12 works

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