In recent decades, the increased use of sensor technologies, as well as the increase in
digitalisation of aircraft sustainment and operations, have enabled capabilities to detect …

The increase in available data from sensors embedded in industrial equipment has led to a
recent rise in the use of industrial predictive maintenance. In the aircraft industry, predictive …

Recent trends of Digitalization across different industries have led to generation of massive
amounts of data. As a natural consequence, there is a surge in Advanced Machine Learning …

Prognostic and health management (PHM) plays a vital role in ensuring the safety and
reliability of aircraft systems. The process entails the proactive surveillance and evaluation of …

Landing gear is an essential part of an aircraft. However, the components of landing gear
are susceptible to degradation over the life of their operation, which can result in the shimmy …

Aircraft maintenance has been further developed with predictive maintenance instead of
solely condition-based maintenance. Prognostics and health management (PHM) with …

Over the past decade, the ideologies surrounding Structural Health Monitoring (SHM) have
shifted drastically within the aerospace engineering disciplines, predominantly onus to rapid …

Predictive maintenance (PM) strategies are based on real-time data for diagnosis of
impending failure and prognosis of machine health. It is a proactive process, which needs …

Condition-Based Maintenance (CBM) is a policy that uses information about the health
condition of systems and structures to identify optimal maintenance interventions over time …

Military troops rely on maintenance management projects and operations to preserve the
materials' ordinary conditions or restore them to combat or military training. Maintenance …