Weibull recurrent neural networks for failure prognosis using histogram data
Weibull time-to-event recurrent neural networks (WTTE-RNN) is a simple and versatile
prognosis algorithm that works by optimising a Weibull survival function using a recurrent …
prognosis algorithm that works by optimising a Weibull survival function using a recurrent …
Product quality driven auto-prognostics: Low-cost digital solution for SMEs
Abstract Setting out existing prognostics solutions in small and medium enterprises (SMEs)
is accompanied by challenges. These include employing expensive sensors, acquisition …
is accompanied by challenges. These include employing expensive sensors, acquisition …
Simulation-Based POLCA Integrated QRM Approach for Smart Manufacturing
Digitalisation and Industry 4.0 have enabled real-time interaction of customers and suppliers
with manufacturing systems. However, this requires a high level of reactivity in the value …
with manufacturing systems. However, this requires a high level of reactivity in the value …
Distributed collaborative prognostics
A Salvador Palau - 2020 - repository.cam.ac.uk
Managing large fleets of machines in a cost-effective way is becoming more important as
corporations own increasingly large amounts of assets. The steady improvement in cost and …
corporations own increasingly large amounts of assets. The steady improvement in cost and …