61 citations · 74 across the 4 of their papers we have counts for
4 papers
Dictionary-Learning-Based Data Pruning for System Identification
Tingna Wang, Sikai Zhang, Mingming Song +1
System identification is normally involved in augmenting time series data by time shifting and nonlinearisation (e.g., polynomial basis), both of which introduce redundancy in feat…
A spectrum of physics-informed Gaussian processes for regression in engineering
Elizabeth J Cross, Timothy J Rogers, Daniel J Pitchforth +2
Despite the growing availability of sensing and data in general, we remain unable to fully characterise many in-service engineering systems and structures from a purely data-driven…
Physics-informed machine learning for Structural Health Monitoring
Elizabeth J Cross, Samuel J Gibson, Matthew R Jones +3
The use of machine learning in Structural Health Monitoring is becoming more common, as many of the inherent tasks (such as regression and classification) in developing condition-b…
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…