Wind Turbine Gearbox Condition Monitoring Vibration Analysis Benchmarking Datasets

Description

Wind turbine condition monitoring (CM) can potentially help the wind industry reduce turbine downtime and operation and maintenance (O&M) cost. NREL CM research has investigated various condition-monitoring techniques such as acoustic emission (AE specifically stress wave), vibration, electrical signature, lubricant and debris monitoring based on the Gearbox Reliability Collaborative dynamometer and field tests, and other test turbines and resources accessible by NREL. During the past several years, NREL CM research has shown that there are very few validation and verification efforts on commercial wind turbine CM systems. One of the reasons might be limited benchmarking datasets accessible by stakeholders. To fill this gap, NREL executed a data collection effort. The targeted users of these datasets include those investigating vibration-based wind turbine CM research, evaluating commercially available vibration-based CM systems, or testing prototyped vibration-based CM systems. NREL collected data from a healthy and a damaged gearbox of the same design tested by the GRC. Vibration data were collected by accelerometers along with high-speed shaft RPM signals during the dynamometer testing. The healthy gearbox was only tested in the dynamometer. The damaged gearbox was first tested in the dynamometer and later sent to a wind farm close to NREL for field testing. In the field test, it experienced two loss-of-oil events that damaged its internal bearings and gear elements. The gearbox was brought back to NREL and it was retested in the dynamometer with CM systems deployed under controlled loading conditions that would not cause catastrophic failure of the gearbox. The objective of releasing these datasets to the public along with information about the real damage that occurred to the damaged gearbox is to provide the wind industry with some benchmarking datasets. These datasets will benefit research, development, validation, verification, and advancement of vibration-based wind condition-monitoring techniques. By accessing this data you acknowledge the terms outlined in the "License Information" document. Please contract Shawn Sheng (NREL) if you have any questions on the data or would like to collaborate on publications based on the datasets.

Resources

Name Format Description Link
21 NREL's Wind Energy Research Website. This site provides information about research, publications, and news regarding NREL's wind energy research programs. https://www.nrel.gov/wind
57 Dynamometer testing data for health wind turbine gearboxes. The damaged gearbox was tested before and after being used in the field and suffering failure while in the field. The data includes 10 MATLAB tables with testing data. https://data.openei.org/files/738/Damaged.zip
57 Dynamometer testing data for health wind turbine gearboxes. The healthy gearbox was only tested in the dynamometer and did not have any signs of failure prior to testing. The data includes 10 MATLAB tables with testing data. https://data.openei.org/files/738/Healthy.zip
47 This document outlines the licensing of this data and includes all acknowledgements users make by accessing data found in this submission. https://data.openei.org/files/738/WindTurbineConditionMonitoringLicenseInfo.txt
21 NREL's Wind Energy Research Website. This site provides information about research, publications, and news regarding NREL's wind energy research programs. https://www.nrel.gov/wind/
33 This report outlines the investigation of gearbox failure in Wind Turbines. The goal of this study is to identify damages found in the gearboxes of turbines that have failed in order to facilitate the design of more resilient wind turbine gearboxes. https://data.openei.org/files/738/Vibration%20Condition%20Monitoring%20Benchmarking%20Datasets.pdf

Tags

  • wind-turbine
  • performance
  • condition-monitoring
  • dynamo
  • vibration-analysis
  • benchmark
  • failure-analysis
  • testing
  • gearbox
  • failure-testing
  • wind-energy
  • damage-analysis
  • dynamometer
  • energy

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