The use of a modern technological system requires a good engineering approach,
optimized operations, and proper maintenance in order to keep the system in an optimal …

Bearing faults are one of the most common inducements for machine failures. Therefore, it is
very important to perform bearing fault diagnosis reliably and rapidly. However, it is …

Determining the remaining useful life (RUL) of increasingly complex machines provides the
decision basis for the predictive maintenance process, which effectively ensures equipment …

Massive training samples are usually difficult to obtain in practice for remaining useful life
(RUL) prediction of rolling element bearings (REBs). Building simulated data sets is an …

In prognostics and health management (PHM), remaining useful life (RUL) estimation has
become a major focus for guaranteeing the safety and reliability of systems. Similarity-based …

The fault symptom of rolling bearings is usually characterized by transient impulses formed
at equal intervals, but the impulse signal is easily affected by noise and harmonic …

This study presents a conceptual modeling framework for gas path prognostics of the gas
turbine, to improve condition monitoring knowledge. The structure contains main concepts …

This paper presents a novel method for quantifying the effect of ambient, environmental and
operating conditions on the progression of degradation in aircraft gas turbines based on the …

This paper presents a novel Cluster-contraction Stage-wise Orthogonal-Matching-Pursuit
(CcStOMP) approach for bearing fault information extraction. This approach adds the cluster …

The generalized logarithm sparse regularization method (G-log) for fault diagnosis of
rotating devices can effectively reconstruct repetitive transient shocks from noise-disturbed …