eMaintenanceLAB

The world’s first international lab for eMaintenance

The eMaintenance Lab was developed as a platform for developing solutions aimed for maintenance decision making. The Lab facilitates research and education in maintenance.

eMaintenance Lab, is the world’s first international eMaintenance laboratory,and is now providing various services to the logistics and maintenance divisions to both national and international research groups. This includes industry and research partners from Slovenien, Spain, Italy, Germany, Norway, Finland, and USA. In the laboratory, the researchers get access to tools that support them in building artefacts such as models, approaches, frameworks, methodologies, technologies, and tools for maintenance decision making.

In Luleå and Kiruna

eMaintenance LAB was developed in Luleå in 2006. Three years later, an identical lab was developed in collaboration with LKAB inKiruna.

Together with external stakeholders, we will shortly present eMaintenance Lab for simulations and conceptual workshops in the area of Operation and Maintenance Engineering

Objective

Support maintenance researcher and industrial partners to conceptualise and develop new innovative Industrial AI & eMaintenance solutions

Strategy

Provision of a collaborative platform for Industrial AI & eMaintenance i.e. a combination of SW and HW for establishment of effective and efficient information logistics within the maintenance process

  • Process-oriented
  • Service-oriented
  • Event-driven
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    What does eMaintenanceLAB provide?

  • A common platform for maintenance research, with focus on Industrial AI & eMaintenance
  • Provision of best practices and patterns
  • Small scale models of real world environment (for pre-verification)
  • Data processing capability (Large Data Sets)
  • Knowledge sharing
  • Common repository
  • Data acquisition procedure
  • Reusability – Data / Logic (Software)
  • Collaborative environment
  • Digital research library
  • Support to researcher with focus on other aspects of maintenance
  • Data warehousing – technologies & methodologies
  • Data mining – technologies & methodologies
  • Big Data Analytics
  • Text Analytics
  • Advanced Context customization and visualization
  • Simulation capability
  • Understanding the real world constraints (using real world parameters)
  • Broad casting new technologies & methodologies

    • Challanges

  • Industrial Partners
  • Academic alliances
  • Maintenance strategy
  • Organisation
  • Personnel
  • Costs
  • Financing model (short term & long term)
  • Projects
  • Faculty
  • Sponsoring

    • The Railway Cloud

    The Railway Cloud powered by eMaintenance LAB is a platform that enables tools, data, and information aimed for Big Data Analytics related to railway system, including railway infrastruc­ture and rolling stocks. Today, this platform serves railway research projects with context-adapted services.