Sessions
Siblings:
Programme committeePresenters dashboardSpeakersPostersMonitoring, modelling condition and lifetime
When: Thursday, 1 June 2023, 11:05 - 12:35
Where: Forum 1
Session chair
José Vidal
Product Manager, UL Solutions
Presentations
Optimizing lifetime strategies – how mast, SCADA data and digitalization can make the difference?
Cyrille Huant
UL Services
Machine Learning-Based Prediction of Mass Imbalance in Wind Turbines: A Key Step Towards Optimizing Operation and Maintenance
Guhan velupillai Gowthaman Malarvizhi
FormFactor Inc
A Statistical Method for Condition Monitoring to Confidently and Expediently Identify Mechanical Defects from Normal Behaviour Models
Philip Bradstock
Bitbloom Ltd
Predictive Maintenance of wind turbine rotor blades based on real time monitoring using acoustic emission technology
Valery Godinez-Azcuaga
MISTRAS Group
Forecasting Leading Edge erosion progression by combining blade image data and physics inferred models
Wen Wu
University of Nottingham
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