Drivetrain monitoring: beyond SCADA

Operations & maintenance

When: Thursday, 4 April 2019, 13:00 - 14:15
Where: Auditorium 2

Session description

Low frequency SCADA data provide a rich source of information that can be used for health monitoring of wind turbines. However, higher frequency data can give greater insights into turbine health, particularly of the drivetrain. This session will look at the use of high frequency vibration, shaft torque variation and electrical generator output in monitoring the drivetrain, and the role these can play in fault detection and lifetime assessment.

Learning objectives

• Learn how monitoring of shaft torque variations can give a better insight into drivetrain loading and accumulated fatigue;
• Learn how high frequency monitoring of the generator current can give early warning of faults;
• Understand how, by combining SCADA with vibration data and by using statistics and artificial intelligence, the prediction of remaining useful lifetimes of components can be improved;
• Understand how advanced analysis of vibration data can be used to provide automated health indicators.

Session chair

Simon Watson

Director of DUWIND, Chair of Wind Energy Systems, TU Delft

Presentations

Drivetrain reliability improvements from long-term field data processed in the cloud

Jan Helsen

Professor, Vrije Universiteit Brussel, OWI-lab

Analysing operational data to diagnose an in-service wind turbine generator

Estefania Artigao

Research Assistant, University of Castilla - La Mancha

A novel probabilistic long-term fault prediction framework beyond SCADA

Jürgen Herp

Assistant Professor, Maersk Mc-Kinney Moeller Institute, University of Southern Denmark

Innovative sensing and monitoring of shaft torque variations for an optimized O&M of wind turbines

Koenraad De Bauw

Chief Technologist - Condition Monitoring and Asset Reliability, ENGIE Laborelec