The food industry is a significant contributor to carbon emissions, impacting carbon footprint
(CF), specifically during the heat drying process. Conventional heat drying processes need …

Failures in power plants can lead to significant power interruptions and economic losses.
Prognostics and Health Management (PHM) serves as a predictive maintenance technique …

Intelligent anomaly detection for wind turbines using deep-learning methods has been
extensively researched and yielded significant results. However, supervised learning …

Addressing the critical issue of turbine blade failures, particularly in steam turbine systems,
this comprehensive review delves into examining and analyzing various failure mechanisms …

Fault Detection and Diagnosis (FDD) has recently achieved widespread popularity in
industrial system monitoring applications. This is mainly due to the potential advantage that …

The discipline of nuclear power non-destructive testing (NDT) has made a great deal use
artificial intelligence technologies recently in an effort to produce safer, more effective …

The reliable operation of steam turbines is paramount for the sustained performance of
electric power generation facilities. Any malfunction or breakdown in these high-speed …