To this day, continuous developments of technical systems and increasing reliance on
equipment have resulted in a growing importance of effective maintenance activities. During …

Machinery prognostics is one of the major tasks in condition based maintenance (CBM),
which aims to predict the remaining useful life (RUL) of machinery based on condition …

Remaining useful life (RUL) is the useful life left on an asset at a particular time of operation.
Its estimation is central to condition based maintenance and prognostics and health …

Over recent years a significant amount of research has been undertaken to develop
prognostic models that can be used to predict the remaining useful life of engineering …

Prognostics and systems health management (PHM) is an enabling discipline that uses
sensors to assess the health of systems, diagnoses anomalous behavior, and predicts the …

Based on the results of research in physical asset management, Maintenance,
Replacement, and Reliability: Theory and Applications introduces students to the tools for …

Predicting the remaining useful life of machinery, infrastructure, or other equipment can
facilitate preemptive maintenance decisions, whereby a failure is prevented through timely …

The objective of condition based maintenance (CBM) is typically to determine an optimal
maintenance policy to minimize the overall maintenance cost based on condition monitoring …

This paper presents an extensive literature review on the field of condition-based
maintenance (CBM). The paper encompasses over 4000 contributions, analysed through …

This paper develops an integrated neural-network-based decision support system for
predictive maintenance of rotational equipment. The integrated system is platform …