This paper presents a novel methodology for multiple failure modes prognostics in rotating
machinery. The methodology merges a machine learning and pattern recognition approach …

Determining prognosis for rotating machinery could potentially reduce maintenance costs
and improve safety and availability. Complex rotating machines are usually equipped with …

Abstract Machine fault diagnostic and prognostic techniques have been the considerable
subjects of condition-based maintenance system in the recent time due to the potential …

Recent advances in sensor technology and computing capabilities have enabled the
creation of data-driven models that can support real-time decision making. Such a decision …

Condition monitoring technologies can provide sensor data for predicting the remaining
useful life (RUL) of rotating machinery. However, it is often difficult to obtain direct …

Machinery prognosis is the forecast of the remaining operational life, future condition, or
probability of reliable operation of an equipment based on the acquired condition monitoring …

This paper introduces a model for multiple degradation features of an individual component.
The maximum likelihood approach is employed to estimate the model parameters …

The detection of shaft cracks within operating rotors is an old subject of scientific research.
Several signal-and model-based approaches are developed. Here two approaches used for …

The field of prognostics has attracted significant interest from the research community in
recent times. Prognostics enables the prediction of failures in machines resulting in benefits …

Estimating the Remaining Useful Life (RUL) of critical assets is not only a basic requirement
of condition-based maintenance, but is also central to system prognostics for cost efficiency …