📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Physically meaningful uncertainty quantification in probabilistic wind turbine power curve models as a damage-sensitive feature (2023)

First Author: Mclean J

Attributed to: Predictive Modelling in Complex Uncertain Environments: Optimised exploitation of physics and data funded by ISCF

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1177/14759217231155379

Publication URI: http://dx.doi.org/10.1177/14759217231155379

Type: Journal Article/Review

Parent Publication: Structural Health Monitoring

Issue: 6