Artificial intelligence in healthcare: review, ethics, trust challenges & future research directions

P Kumar, S Chauhan, LK Awasthi - Engineering Applications of Artificial …, 2023 - Elsevier
The use of artificial intelligence (AI) in medicine is beginning to alter current procedures in
prevention, diagnosis, treatment, amelioration, cure of disease and other physical and …

A comprehensive review on signal-based and model-based condition monitoring of wind turbines: Fault diagnosis and lifetime prognosis

H Badihi, Y Zhang, B Jiang, P Pillay… - Proceedings of the …, 2022 - ieeexplore.ieee.org
Wind turbines play an increasingly important role in renewable power generation. To ensure
the efficient production and financial viability of wind power, it is crucial to maintain wind …

[HTML][HTML] Artificial intelligence for electricity supply chain automation

L Richter, M Lehna, S Marchand, C Scholz… - … and Sustainable Energy …, 2022 - Elsevier
Abstract The Electricity Supply Chain is a system of enabling procedures to optimize
processes ranging from production to transportation and consumption of electricity. The …

Review on monitoring, operation and maintenance of smart offshore wind farms

L Kou, Y Li, F Zhang, X Gong, Y Hu, Q Yuan, W Ke - Sensors, 2022 - mdpi.com
In recent years, with the development of wind energy, the number and scale of wind farms
have been developing rapidly. Since offshore wind farms have the advantages of stable …

[HTML][HTML] Foundations of population-based SHM, Part I: Homogeneous populations and forms

LA Bull, PA Gardner, J Gosliga, TJ Rogers… - Mechanical systems and …, 2021 - Elsevier
Abstract In Structural Health Monitoring (SHM), measured data that correspond to an
extensive set of operational and damage conditions (for a given structure) are rarely …

[HTML][HTML] Foundations of Population-based SHM, Part II: Heterogeneous populations–Graphs, networks, and communities

J Gosliga, PA Gardner, LA Bull, N Dervilis… - Mechanical Systems and …, 2021 - Elsevier
This paper is the second in a series of three which aims to provide a basis for Population-
Based Structural Health Monitoring (PBSHM); a new technology which will allow transfer of …

A new structural health monitoring strategy based on PZT sensors and convolutional neural network

MA De Oliveira, AV Monteiro, J Vieira Filho - Sensors, 2018 - mdpi.com
Preliminaries convolutional neural network (CNN) applications have recently emerged in
structural health monitoring (SHM) systems focusing mostly on vibration analysis. However …

Spatio-temporal fusion neural network for multi-class fault diagnosis of wind turbines based on SCADA data

Y Pang, Q He, G Jiang, P Xie - Renewable Energy, 2020 - Elsevier
Numerous sensors have been deployed in different locations in components of wind
turbines to continuously monitor the health status of the turbine system and accordingly …

[HTML][HTML] Probabilistic modelling of wind turbine power curves with application of heteroscedastic Gaussian process regression

TJ Rogers, P Gardner, N Dervilis, K Worden… - Renewable Energy, 2020 - Elsevier
There exists continued interest in building accurate models of wind turbine power curves for
better understanding of performance or assessment of the condition of the turbine or both …

[HTML][HTML] On population-based structural health monitoring for bridges

J Gosliga, D Hester, K Worden, A Bunce - Mechanical Systems and Signal …, 2022 - Elsevier
The maintenance and repair of bridges (and other large scale infrastructure projects) is a
major area which could benefit from Structural Health Monitoring technology. Inspections on …