The development of airborne sensor monitoring and artificial intelligence technologies
provides effective tools for precise prognostic and health management (PHM) of aircraft. This …

Rolling element bearing is one of the critical components in rotating machines, and its
running state determines machinery Remaining Useful Life (RUL). Estimating impending …

Induction motors most often fail due to faults in the rolling element bearings. Such failures
can cause long and unscheduled downtime in a production facility, which can result in huge …

Estimation of the remaining useful life (RUL) of bearings is important to avoid abrupt
shutdowns in rotary machines. An important task in RUL estimation is the construction of a …

Remaining useful life is of great value in the industry and is a key component of Prognostics
and Health Management (PHM) in the context of the Predictive Maintenance (PdM) strategy …

The remaining useful life (RUL) prediction of rolling bearings has recently gained increasing
interest. Many models have been established to catch the degradation performance of …

This paper presents a comprehensive review of the state-of-the-art techniques for predicting
the remaining useful life (RUL) of rolling bearings. Four key aspects of bearing RUL …

Planet bearing vibration signals are complex and non-stationary owing to the time-varying
vibration transmission path from fault point to accelerometers. In addition, due to the …

Condition based maintenance of rotary machines is centered on bearings, as they are the
leading source of breakdowns in induction motors used in the industry. The health prognosis …

In any prognostics and health management framework, the key to accurate remaining useful
life prediction is finding a signal that directly quantifies the health status of a physical asset …