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 …

Degradation-based modeling methods have been recognized as an essential and effective
approach for lifetime and remaining useful life (RUL) estimations for various health …

Risk assessment must evolve for addressing the existing and future challenges, and
considering the new systems and innovations that have already arrived in our lives and that …

Fault diagnosis and prognosis are some of the most crucial functionalities in complex and
safety-critical engineering systems, and particularly fault diagnosis, has been a subject of …

In the age of Internet of Things and Industrial 4.0, prognostic and health management (PHM)
systems are used to collect massive real-time data from mechanical equipment. PHM big …

Health condition monitoring for rotating machinery has been developed for many years due
to its potential to reduce the cost of the maintenance operations and increase availability …

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 …

Integrating prognostics to a real application requires a certain maturity level and for this
reason there is a lack of success stories about development of a complete Prognostics and …

Many industries have a growing awareness in utilizing new technologies to improve the
reliability and availability of their systems. Prognostics, a subject concerned with the …

Accurate monitoring of mechanical device conditions requires a large number of sensors
working together. There are potential connections between sensors throughout the …