NDLI: Applying thermophysics for wind turbine drivetrain fault diagnosis using SCADA data

Content Provider	IET Digital Library
Author	Qiu, Yingning Feng, Yanhui Sun, Juan Zhang, Wenxiu Infield, David
Abstract	Cost-effective wind turbine (WT) diagnosis using supervisory control and data acquisition (SCADA) data is a promising technology for future intelligent wind farm operation and management. This study presents a thermophysics-based method for WT drivetrain fault diagnosis. A synthesised thermal model is formed by incorporating thermal mechanisms of the drivetrain into a WT system model. Applications of the model are demonstrated in case studies of the gearbox and generator comparing simulation results and SCADA data analysis. The results show non-linearity of the gearbox oil temperature rise with wind speed/output power that can effectively indicate gearbox efficiency degradation, which may be attributed to gear transmission problems such as gear teeth wear. Electrical generator faults such as ventilation failure and winding voltage unbalance will cause changes to heat transfer and result in temperature changes that can be used for diagnosis purposes. This is shown by different patterns of stator winding temperature associated with power generation, while the simulation reveals the thermal mechanism. The method can be applied to diagnose some failure modes which are hard to identify from vibration analysis. The developed thermal model can play a central role for the purpose of fault diagnosis, by deriving relationships between various SCADA signals and revealing changes in the thermophysics of WT operation.
Starting Page	661
Ending Page	668
Page Count	8
ISSN	17521416
Volume Number	10
e-ISSN	17521424
Issue Number	Issue 5, May (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/10/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2015.0160
Journal	IET Renewable Power Generation
Publisher Date	2016-05-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Cost-effective WT Drivetrain Fault Diagnosis Data Acquisition System Electrical Generator Fault Diagnosis Failure Analysis Failure Mode Diagnosis Fault Diagnosis Future Intelligent Wind Farm Management Future Intelligent Wind Farm Operation Gear Transmission Problem Gearbox Efficiency Degradation Gearbox Oil Temperature Rise Nonlinearity Gears Maintenance And Reliability Mechanical Drive And Transmissions Mechanical Engineering Output Power Power And Plant Engineering Power Generation Power Generation Economics Power System Economics Power System Managemen Power System Management Power System Operation Power Transmission Reliability SCADA Data Analysis SCADA System Stator Winding Temperature Stators Thermophysics-based Method Vibration Analysis Vibrations Vibrations And Shock Wave Wind Power Plant Wind Speed Wind Turbine Wind Turbine Drivetrain Fault Diagnosis
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Applying thermophysics for wind turbine drivetrain fault diagnosis using SCADA data

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