Time-series Analysis: An Effective Tool to Understand the Dynamics of Wind Turbines

The Power and Control Society under the Department of Electrical and Electronics Engineering is organising an invited talk on the dynamics and maintenance of wind turbines for effectiveness. Dr Harsh Dhiman, Assistant Professor, Department of Artificial Intelligence and Machine Learning, Symbiosis Institute of Technology, Symbiosis International University, Pune, India will deliver a talk on “Digital Twin Framework for Wind Turbine Condition Monitoring” on April 10, 2023. The talk will provide insight into time-series analysis and data representation as effective tools in understanding the working of machinery such as wind turbines.

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Abstract

A wind turbine is a complex machine with its rotating and non-rotating equipment being sensitive to faults. Due to increased wear and tear, the maintenance aspect of a wind turbine is of critical importance. The unexpected failure of wind turbine components can lead to increased O&M costs which ultimately reduces the effective power capture of a wind farm. Fault detection in wind turbines is often supplemented with SCADA data available from wind farm operators in the form of a time-series format with a 10-minute sample interval. Moreover, time-series analysis and data representation has become powerful tool to get a deeper understanding of the dynamic processes in complex machinery like wind turbines. Wind turbine SCADA data is usually available in form of a multivariate time series with variables like gearbox oil temperature, gearbox bearing temperature, nacelle temperature, rotor speed and active power produced. In this preprint, we discuss the concept of a digital twin for time-to-failure forecasting of the wind turbine gearbox where a predictive module continuously gets updated with real-time SCADA data and generates meaningful insights for the wind farm operator.

About the Speaker

Dr Harsh Dhiman is currently an Assistant Professor at the Department of Artificial Intelligence and Machine Learning, Symbiosis Institute of Technology, Symbiosis International University, Pune, India. He was conferred with his PhD from the Institute of Infrastructure Technology Research and Management (IITRAM), Ahmedabad, Gujarat. He previously worked as an Assistant Professor, at the Department of Electrical Engineering, Adani Institute of Infrastructure Engineering, Ahmedabad, India and as a Data Science Consultant at Symphony Industrial AI, Bengaluru, India.