Session description

The session covers the entire area of wind farm and wind turbine operation and maintenance, e.g. how to access, repair and organise operation and maintenance logistics onshore and offshore. In order to keep in hand the current health of turbines and farms, failure detection, identification and prognosis methods are also presented. Maintenance operations are also addressed from the viewpoints of required activities and efficiency. In order to cover management aspects, operation and lifetime cost calculation methodologies are also introduced. Experts from various European countries share their results during the session.

Learning objectives

• Advanced operation and maintenance
• Fault detection methods
• Reliability calculation techniques
• Monitoring on the field
• Statistical and artificial intelligence-based solutions for diagnostics data- and model-based solutions for fault detection

This session will be chaired by:
Zsolt Viharos, Hungarian Academy of Sciences, Hungary
Co-chair: Christopher J. Crabtree , University of Durham, United Kingdom

Christopher Crabtree
Durham University, United Kingdom
ELECTRICAL FAULT DETECTION USING MECHANICAL SIGNALS

Christos Kaidis
Uppsala University - MECAL B.V., The Netherlands
WIND TURBINE RELIABILITY ESTIMATION FOR DIFFERENT ASSEMBLIES, FAILURE SEVERITY CATEGORIES AND ENVIRONMENTAL CONDITIONS USING SCADA DATA

Alexandros Antoniou
Fraunhofer Institute for Wind Energy Systems, Germany
Trailing edge monitoring with acoustic emission during a static full scale blade test

Zhenyou Zhang
Kongsberg Maritime AS, Norway
Comparison of data-driven and model-based methodologies of wind turbine fault detection with SCADA data

Jamie Godwin
University of Durham, United Kingdom
Prediction of wind turbine gearbox condition based on hybrid prognostic techniques with robust multivariate statistics and artificial neural networks

Carlos Eduardo Leite da Silva Correia
Head of Country, Service & Operations Manager, VESTAS, Portugal
Advanced monitoring of wind farms