Abstract

An offshore wind turbine (OWT) is a complex structure that consists of different parts (e.g., foundation, tower, drivetrain, blades, et al.). The last decade, there has been continuous trend towards larger machines with the goal of cost reduction. Modal behavior is an important design aspect. For tackling noise, vibration, and harshness (NVH) issues and validating complex simulation models, it is of high interest to continuously track the vibration levels and the evolution of the modal parameters (resonance frequencies, damping ratios, mode shapes) of the fundamental modes of the turbine. Wind turbines are multi-physical machines with significant interaction between their subcomponents. This paper will present the possibility of identifying and automatically tracking the structural vibration modes of the drivetrain system of an instrumented OWT by using signals (e.g., acceleration responses) measured on the drivetrain system. The experimental data has been obtained during a measurement campaign on an OWT in the Belgian North Sea where the OWT was in standstill condition. The drivetrain, more specifically the gearbox and generator, is instrumented with a dedicated measurement set-up consisting of 17 sensor channels with the aim to continuously track the vibration modes. The consistency of modal parameter estimates made at consequent 10-min intervals is validated, and the dominant drivetrain modal behavior is identified and automatically tracked.

Highlights

  • There is a trend to increase the power produced by each individual turbine in order to reduce the cost of wind energy by the so-called upscaling trend

  • The modal behavior of an offshore wind turbine (OWT) is investigated while the OWT was in a standstill condition

  • The investigation is done by performing a short-term tracking of the modal parameters of the different components of the turbine, e.g., tower, blades, and drivetrain system

Read more

Summary

Introduction

There is a trend to increase the power produced by each individual turbine in order to reduce the cost of wind energy by the so-called upscaling trend. Wind turbine loading includes aerodynamic loads at variable wind speeds, gravitational loads and corresponding bending moments, inertial loads due to acceleration, centrifugal and gyroscopic effects, operational loads such as generator torque, and loads induced by certain control actions like blade pitching, starting up, emergency braking, or yawing [1,2,3,4]. These dynamic loads are significantly influencing the fatigue life of the wind turbine structural components. In the high frequency range (>2 Hz), the first results of an automatic tracking of some drivetrain modes will be given

Data Acquisition
Data Validation
Automatic Tracking of Drivetrain Modes
The Periodogram Approach
The Polyreference
Automatic Mode Tracking Criteria
Stabilization
11. Evolution
13. Boxplots
14. Boxplots
Conclusions
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.