Research and development of predictive diagnostics components for rolling stock

Industry 4.0 Predictive Maintenance

A comprehensive, generic diagnostic system for monitoring and prediction of rail component conditions, developed with Škoda Digital and FavorLogic.

Status

Active

Project code

EI22_002/0000905

Funding provider

Ministry of Industry and Trade (Czech Republic)

Funding program

OP TAK (2021–2027)

The aim of the project is to acquire new knowledge necessary for the development of a new product through the implementation of industrial research and experimental development. The results within Škoda Digital s.r.o., FavorLogic and in cooperation with R&D capacities will lead to the introduction of higher-order innovations and the creation of a product competitive on the domestic and European markets. The output is a comprehensive, generic diagnostic system ensuring monitoring and prediction of the condition of selected rail components.

Basic functions: (1) collection and recording of time-oriented data from the vehicle in sufficient quality for analysis, (2) direct and indirect measurement of the condition of monitored subsystems/components, (3) prediction of the conditions of monitored subsystems/components, (4) continuous updating of already deployed predictive models, and (5) visualization of outputs within a comprehensive customizable GUI environment.

Contact Persons

prof. Ing. Jiří Koziorek, Ph.D.

Lab Leader