The availability of computational power in the domain of Prognostics and Health
Management (PHM) with deep learning (DL) applications has attracted researchers …

This review paper addresses the critical need for structural prognostics and health
management (SPHM) in aircraft maintenance, highlighting its role in identifying potential …

The Internet of Robotic Things (IoRT) is growing rapidly with new applications. Co-operatory
robotics enables the sharing of information, autonomy, and fail-safe interaction with …

Smart grids represent a paradigm shift in the electricity industry, moving from traditional one‐
way systems to more dynamic, interconnected networks. These grids are characterised by …

Power outage prediction and fault detection play crucial roles in ensuring the reliability and
stability of electrical power systems. Traditional methods for predicting power outages and …

The mining industry is set to increasingly use technological innovations surrounding
digitalisation, particularly in the context of the fourth industrial revolution, to address current …

This forward-looking perspective introduces the current applications of AI in sustainable
energy systems, focusing on machine learning (ML) in three key areas:(i) system modeling …

To enhance fault characteristics and improve fault detection accuracy in bearing vibration
signals, this paper proposes a fault diagnosis method using a wavelet packet energy …

Simple Summary We provide a data classification and analysis method to estimate fire risk
using facility data for thermal power plants. Experimental analysis is conducted on the data …

Current multivariate statistical process monitoring is mostly based on data-based models
with the principal aim of detecting faults promptly. To increase fault detection performance …