Decision-support for the operation and maintenance of structures provide...
Multi-task neural networks learn tasks simultaneously to improve individ...
The prospect of informed and optimal decision-making regarding the opera...
This paper aims to discuss a method of quantifying the 'shape' of data, ...
Topological methods are very rarely used in structural health monitoring...
Topological methods can provide a way of proposing new metrics and metho...
Ultrasonic guided waves offer a convenient and practical approach to
str...
Risk-based active learning is an approach to developing statistical
clas...
Reductions in natural frequency are often used as a damage indicator for...
Gaining the ability to make informed decisions on operation and maintena...
Ultrasonic guided waves offer a convenient and practical approach to
str...
The practical application of structural health monitoring (SHM) is often...
It has been shown that ultrasonic techniques work well for online measur...
Structural health monitoring (SHM) has been an active research area for ...
Classification models are a fundamental component of physical-asset
mana...
This paper proposes a canonical-correlation-based filter method for feat...
One of the requirements of the population-based approach to Structural H...
In data-driven SHM, the signals recorded from systems in operation can b...
The application of reliable structural health monitoring (SHM) technolog...
Obtaining the ability to make informed decisions regarding the operation...
The use of ultrasonic guided waves to probe the materials/structures for...
In the field of structural health monitoring (SHM), the acquisition of
a...
A common shortcoming of vibration-based damage localization techniques i...
This paper presents the use of spike-and-slab (SS) priors for discoverin...
Uncertainty quantification (UQ) is a vital step in using mathematical mo...