Author: Sergio Manuel Galve Ceamanos
Programme: Doctoral Programme in Network and Information Technologies
Language: English
Supervisors: Dr Xavi Vilajosana Guillén & Dr Vicenç Puig Cayela
Faculty / Institute: Doctoral School UOC
Subjects: Computer Science
Key words: maintenance, modelling, Internet of things, diagnosis, explicability, structural analysis
Area of knowledge: Network and Information Technologies
Summary
Working in the practical environment of the LAUDA Ultracool company, this project worked with industrial refrigeration equipment to detect and diagnose failures before they impact the efficiency of the machine. Once the limitations of the literature in an industrial environment had been identified, it was possible to identify the evaluation criteria for the results of the detection and analysis that the training of a model must generate. To achieve this, data was collected from the machine working in all reproducible working conditions and under the effect of caused failures, and expert knowledge was gathered from the engineering team. The expert knowledge made it possible to propose an interface with the LAUDA team through which to collect the schematics of the machine to propose a structural analysis as the basis for the modeling. By creating models that meet the requirements of an industrial application, interpretable and analyzable results can be presented.