Digitalisation: creating value in O&M
When: Thursday, 4 April 2019, 13:00 - 14:15
Where: Auditorium 1
Digitalisation is not an end in itself, but an enabler of our industry’s objectives. One such application of digital technology is smarter operations and OPEX reduction. In this session, we will look at specific new examples of how digitalisation, including advanced analytics, is being used in operations and maintenance. A range of methods and techniques will be looked at, with a focus on how artificial intelligence and machine learning adds value.
- Understand the use of artificial intelligence to optimize asset maintenance;
- Learn how to increasing wind turbine failure detectability using Machine Learning;
- Learn how to combine SCADA data analysis, machine learning and physical model to determine loads and fatigue;
- Understand how statistics and neural networks can be used to predict remaining useful lifetimes.
Program Manager for Digitalization in PLM Services, Siemens Gamesa Renewable Energy
Innovation - Projects Director, Acciona Energia
President - Europe, Sentient Science
Using artificial intelligence to optimize asset maintenance.
Lead Senior Specialist, Performance & Diagnostics, MHI Vestas Offshore Wind
From SCADA to lifetime assessment and performance optimization: models and machine learning to extract useful insights from limited data
Senior Scientist, DTU Wind Energy
Increasing wind turbine failure detectability with Machine Learning strategies. Case study from a customer point of view.
Energy CEO, NEM Solutions
Romeo, a project that will contribute to offshore O&M cost reduction
Head of Innovation, Iberdrola Renovables