Identification of Noise, Vibration and Harshness Behavior of Wind Turbine Drivetrain under Different Operating Conditions

Nicoletta Gioia, Cédric Peeters, Patrick Guillaume and Jan Helsen
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Nicoletta Gioia: Department of Mechanical Engineering, Faculty of Applied Sciences, Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussels, Belgium
Cédric Peeters: Department of Mechanical Engineering, Faculty of Applied Sciences, Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussels, Belgium
Patrick Guillaume: Department of Mechanical Engineering, Faculty of Applied Sciences, Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussels, Belgium
Jan Helsen: Department of Mechanical Engineering, Faculty of Applied Sciences, Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussels, Belgium

Energies, 2019, vol. 12, issue 17, 1-18

Abstract: Noise, vibration and harshness (NVH) problems are critical issues to be tackled for wind turbine drivetrains. Tracking the behavior of modal parameters of the machines’ fundamental modes during operation it is of high interest to validate complex simulation models. A powerful approach for this purpose is represented by operational modal analysis (OMA). This paper describes the investigation of an automated technique for continuously tracking the modes of a rotating mechanical system running in normal operating conditions. The modal estimation procedure is based on an automatic version of the pLSCF (poly-reference Least-Square Complex Frequency-Domain) algorithm. The latter is coupled with a method that automatically tracks the modal parameters along different data sets. The use of OMA on a rotating component of the wind turbine creates the need to deal with harmonics in order to satisfy one of the assumptions of OMA. For this purpose, the use of a cepstrum editing procedure is analyzed and implemented. Modal estimates obtained from an automated analysis on stand still data and normal operating conditions data are compared, to test the added value of the cepstrum editing procedure and the robustness of the method when used on real data. To illustrate and validate the implemented methodology, data acquired during a long-term monitoring campaign of a wind turbine drivetrain are used.

Keywords: wind energy; operational modal analysis; noise vibration and harshness problems; modeling (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
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