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09/19/2023
A spectrum of physics-informed Gaussian processes for regression in engineering
Despite the growing availability of sensing and data in general, we rema...
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05/15/2023
Encoding Domain Expertise into Multilevel Models for Source Location
Data from populations of systems are prevalent in many industrial applic...
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06/30/2022
Physics-informed machine learning for Structural Health Monitoring
The use of machine learning in Structural Health Monitoring is becoming ...
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06/03/2022
Constraining Gaussian processes for physics-informed acoustic emission mapping
The automated localisation of damage in structures is a challenging but ...
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06/15/2021
Canonical-Correlation-Based Fast Feature Selection
This paper proposes a canonical-correlation-based filter method for feat...
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03/02/2021
Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data
In data-driven SHM, the signals recorded from systems in operation can b...
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01/25/2021
Damage detection in operational wind turbine blades using a new approach based on machine learning
The application of reliable structural health monitoring (SHM) technolog...
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01/05/2021
Structured Machine Learning Tools for Modelling Characteristics of Guided Waves
The use of ultrasonic guided waves to probe the materials/structures for...
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12/21/2020
A Bayesian methodology for localising acoustic emission sources in complex structures
In the field of structural health monitoring (SHM), the acquisition of a...
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12/03/2020