Predictive diagnosis and preventive (on condition) maintenance of power train subsystems and components: ATS Subsystem and AdBlue Filter-Extension of a previous project

M.A. Sanz-Bobi P. Calvo-Báscones

March 2019 - July 2019

Funding entity SATE, S.r.l. - Systems & Advanced Technologies Engineering

This project is an extension of a previous cooperation focussed on the research around the developoment of a predictive diagnostic algorithm and the corresponding software in Matlab for the After Treatment System (ATS) of the gases in a vehicle. Also the project developes a predictive diagnostic algorithm and the corrresponding software in Matlab for the AdBlue filter component of a vehicle engine to be integrated in the Client off-board infrastructure that allows its condition-based maintenance.

Research topics:
• Smart industry: maintenance, reliability and diagnosis with self and deep learning techniques

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