Objectives

The objective of the MOIRA project is to develop the next generation of knowledgediscovery methodologies, algorithms and technologies, so enabling data-driven, plant-wide fleet monitoring, with the focus on real-time diagnostics and prognostics.

This objective will be achieved by having 15 early-stage researchers working closely and interacting frequently in this interdisciplinary and multi-disciplinary area. The following subobjectives have been drawn up to ensure that the objective of MOIRA is achieved:

  • New signal-processing techniques for the analysis of heterogeneous data structures
  • New methods and technologies for the self-learning intelligent monitoring of cyber-physical systems
  • New methods for large-scale diagnosis, focusing on datadriven, plant-wide monitoring
  • New methodologies for information/sensor fusion, focusing on high-rated diagnosis
  • Validation of methodologies for the diagnosis of individual units by fleet monitoring
  • Novel data-driven, model-based and hybrid prognostic methodologies
  • New methodologies for the condition monitoring of complex systems using low-quality sensors
  • New forms of human cognition for the maintenance operations of autonomous machines
  • Validation of new methodologies and technologies from the aerospace, mining, automotive, healthcare and packaging sectors

The above-mentioned objectives will be met through the following activities of the MOIRA project:

  • Bundling knowledge and research activities in the inter/multidisciplinary fields within knowledge discovery involved in the various aspects of the condition monitoring and maintenance of large-scale, complex technological systems.
  • Preparing new researchers for challenges ahead in smarter and safer means of transport by equipping them with the skills necessary to compete for high-profile positions in industry.
  • Exposing the ESRs to the world of engineering in Europe and providing them with the necessary industrial anchoring.
  • Providing a stimulating and balanced training program to the early-stage researchers (ESRs) that includes not just science and engineering, but the important transferrable skills they will need throughout their careers.
  • Stimulating interactions to match industrial needs with academic research capacity in an exciting training programme for ESRs.
  • Motivating the ESRs through research and training that is simply not available to them anywhere else in the world.
  • Promoting the transfer of knowledge between the project’s participants and to disseminate, communicate and exploit the research outputs to the fullest extent.

Project