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 approaches for estimation of Remaining Useful Life (RUL) of a machine, using its
operational sensor data, make assumptions about how a system degrades or a fault …

We consider the problem of estimating the remaining useful life (RUL) of a system or a
machine from sensor data. Many approaches for RUL estimation based on sensor data …

This paper reviews methods and practices for addressing the concepts of system-level
prognostics (SLP) and system remaining useful life (SRUL) estimation applied to …

Abstract In the Industry 4.0 era, a myriad of sensors of diverse nature (temperature, pressure,
etc.) is spreading throughout the entire value chain of industries, being potentially …

One of the major targets in industry is minimisation of downtime and cost, and maximisation
of availability and safety, with maintenance considered a key aspect in achieving this …

Maintenance Management is a key pillar in companies, especially energy utilities, which
have high investments in assets, and so for its proper contribution has to be integrated and …

Maintenance Management is a key pillar in companies, especially energy utilities, which
have high investments in assets, and so for its proper contribution has to be integrated and …

This paper introduces a new deep learning model for Remaining Useful Life (RUL)
prediction of complex industrial system components using Gaussian Mixture Models …

Reciprocating compressors are critical components in the oil and gas sector, though their
maintenance cost is known to be relatively high. Compressor valves are the weakest …