Digital twin (DT), aiming to characterise behaviors of physical entities by leveraging the
virtual replica in real time, is an emerging technology and paradigm at the forefront of the …

This paper presents a systematic literature review on the application of digital twins in the
energy sector. Initially, we generated an overview through a survey of prior reviews …

The digital twin-driven performance model provides an attractive option for the warn gas-
path faults of the gas turbines. However, three technical difficulties need to be solved:(1) low …

Anomaly detection and failure prediction of gas turbines is of great importance for ensuring
reliable operation. This work presents a novel approach for anomaly detection based on a …

The energy industry is undergoing unprecedented changes as it pursues global trends
towards decarbonization, decentralization, and digitalization. Rapid development and …

High efficiency and safety are critical factors in ensuring the optimal performance and
reliability of systems and equipment across various industries. Fault monitoring (FM) …

The smart energy systems, based on the numerous digital technologies, became an integral
part of the current efforts to revolutionize energy production. One of the main cornerstones of …

In this study, a sensor fault diagnostic system to detect/isolate and accommodate faults in
sensors from an industrial gas turbine has been developed. The sensor fault diagnostic …

This book serves as a comprehensive guide to understanding the complex relationship
between digital twins and cybersecurity, providing practical strategies for safeguarding …

The global drive toward renewable energy is imposing challenging operating requirements
on power turbines. Flexible load-leveling applications must accept more frequent and …