The recent advance of digital twin (DT) has greatly facilitated the development of predictive
maintenance (PdM). DT for PdM enables accurate equipment status recognition and …

Thanks to the rapid growth of the Industry 4.0 domain and the innovations brought by the
Internet of Things paradigm, Digital Twins (DT) are increasingly gaining momentum in our …

Under the dual thrust of decarbonisation and digitalisation, data-driven enabling
technologies become the most promising solutions to reducing the time, cost, and effort …

The integration of digital technologies is causing a significant change in the energy sector.
These innovations have transformed traditional energy grids into intelligent grids. As a …

Fault diagnosis is essential for ensuring the safety and reliability of aero-engines. Current
performance-based fault diagnosis methods typically establish a mapping between …

The work aims to develop an effective tool based on Digital Twins (DTs) for forecasting
electric power consumption of industrial production systems. DTs integrate dynamic models …

The equipment of chiller systems is characterized by a complex mechanical structure and
operating environments that vary widely, resulting in high failure rates, energy waste, and …

Abstract Similarity-based aeroengine Remaining Useful Life (RUL) prediction methods have
long been limited by similarity evaluation rules. Therefore, this article proposes an advanced …

Engine model plays a crucial role in various applications of energy system, such as health
management and control optimization. However, the traditional physics-based model is …

Sensor health assessments are of great importance for accurately understanding the health
of an aeroengine, supporting maintenance decisions, and ensuring flight safety. This study …