With the rapid progress of network technologies and sensors, monitoring the sensor data
such as pressure, temperature, current, vibration and other electrical, mechanical and …

The health of the aircraft engines is of great concern. And it is a key task to predict the
remaining useful life (RUL) of the aircraft engines accurately. However, there are still …

In the era of industry 4.0, safety, efficiency and reliability of industrial machinery is an
elementary concern in trade sectors. The accurate remaining useful life (RUL) prediction of …

Aircraft health management has been researched at both component and system levels. In
instances of certain aircraft faults, like the Boeing 777 fuel icing problem, there is evidence …

Performance forecasting of aeroengines is crucial for achieving better operational efficiency,
ensuring safety, reducing costs, and minimizing environmental impact in the aviation …

The reliability and performance of the generating machines in a thermal power plant are
crucial to ensure agility and assertiveness in decision-making, maximize economic results …

Predictive maintenance is a very important need and is used frequently in many areas. One
of them is monitoring sensors of water critical infrastructure. In this article, we focus on …

An aircraft is a highly intricate system that features numerous subsystems, assemblies, and
individual components for which regular maintenance is inevitable. The operational …

This article aims to prove that Machine Learning (ML) methods are effective for Predictive
Maintenance (PdM) and to obtain other develo** methods that suitable applied on PdM …

This paper describes an implementation of a deep learning-based predictive maintenance
(PdM) system for industrial rotational machinery, built upon the foundation of a long short …