11 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.LG2026
On Additive Gaussian Processes for Wind Farm Power Prediction
Simon M. Brealy, Lawrence A. Bull, Daniel S. Brennan +4
Population-based Structural Health Monitoring (PBSHM) aims to share information between similar machines or structures. This paper takes a population-level perspective, exploring t…
cs.LG2023
Population-based wind farm monitoring based on a spatial autoregressive approach
W. Lin, K. Worden, E. J. Cross
An important challenge faced by wind farm operators is to reduce operation and maintenance cost. Structural health monitoring provides a means of cost reduction through minimising…
stat.ML2021★ 11 cited
Canonical-Correlation-Based Fast Feature Selection for Structural Health Monitoring
Sikai Zhang, Tingna Wang, Keith Worden +2
Feature selection refers to the process of selecting useful features for machine learning tasks, and it is also a key step for structural health monitoring (SHM). This paper propos…