Project Details
Description
The use of a modern technological system requires a good engineering approach, optimized operations, and
proper maintenance to keep the system in an optimal state. In maintenance, there are multiple strategies to
determine the moment to trigger maintenance actions. Predictive maintenance is one of these strategies that
have increasingly earned attention form industry and academy in the last decade. Predictive maintenance
focuses on the organization of maintenance actions according to the actual health state of the system, aiming
at giving a precise indication of when a maintenance intervention will be necessary. Predictive maintenance is
normally implemented by means of specialized systems that incorporate one of several models to fulfil
diagnostics and prognostics tasks. However, there still multiple knowledge gaps in this topic that provides
opportunities to researches to carry out new research projects. The design of predictive maintenance systems,
the selection of the optimal diagnosis or prognosis model, data uncertainty management are just a few
examples of the research opportunities that can be addressed. In this project, participants are taking advantage
of their previous experiences on the topic and their international contacts to create a multidisciplinary team
that aims to address some of the above-mentioned research opportunities and position TEC as a reference in
this research subject.
proper maintenance to keep the system in an optimal state. In maintenance, there are multiple strategies to
determine the moment to trigger maintenance actions. Predictive maintenance is one of these strategies that
have increasingly earned attention form industry and academy in the last decade. Predictive maintenance
focuses on the organization of maintenance actions according to the actual health state of the system, aiming
at giving a precise indication of when a maintenance intervention will be necessary. Predictive maintenance is
normally implemented by means of specialized systems that incorporate one of several models to fulfil
diagnostics and prognostics tasks. However, there still multiple knowledge gaps in this topic that provides
opportunities to researches to carry out new research projects. The design of predictive maintenance systems,
the selection of the optimal diagnosis or prognosis model, data uncertainty management are just a few
examples of the research opportunities that can be addressed. In this project, participants are taking advantage
of their previous experiences on the topic and their international contacts to create a multidisciplinary team
that aims to address some of the above-mentioned research opportunities and position TEC as a reference in
this research subject.
General Objective
Desarrollo de sistemas de mantenimiento predictivo para el diagnóstico y pronóstico de equipos.
Research Lines
1. Transformación digita
| Status | Finished |
|---|---|
| Effective start/end date | 1/01/24 → 31/12/25 |
Keywords
- Diagnostics
- Prognostics
- Predictive Maintenance
- models
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