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PRECOM - Predictive Cognitive Maintenance Decision Support System

  • Research and Innovation
  • European
Last updated: 2020-05-29 02:01

Strategic Goals

Manufacturers only spend 15% of their total maintenance costs on predictive (vs reactive or preventative) maintenance, and the project wants to demonstrate the impact of the Precom platform on maintainability, availability, work safety and costs.

Solutions Developed / Used

Aims to deploy and test a predictive cognitive maintenance decision-support system to improve preventive maintenance and ultimately increase in-service efficiency of machines.

Description

Start Date 01/11/2017
End Date 31/10/2020
Project Focus
  • Operator
Geographical Scope
  • European
Cloud Delivery Model
  • PaaS
Project Life-Cycle Stage
  • Research and Innovation
Industry
  • Manufacturing
Technology
  • Artificial Intelligence / Machine Learning
  • Augmented / Virtual Reality
  • Big Data
  • Internet of Things (IoT)

Stakeholders


    Academic/Research Organisations
  • France
    COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES (France)
  • Spain
    CONSORCIO INSTITUTO TECNOLOXICO MATEMATICA INDUSTRIAL ITMATI (Spain)
  • Spain
    IDEKO S COOP (Spain)
  • Sweden
    LINNEUNIVERSITETET (Sweden)
  • Germany
    TECHNISCHE UNIVERSITAET CHEMNITZ (Germany)
  • Germany
    TECHNISCHE UNIVERSITAET MUENCHEN (Germany)
    • Industry
  • Germany
    BOSCH REXROTH AG (Germany)
  • Sweden
    E-MAINTENANCE SWEDEN AB (Sweden)
  • Germany
    OVERBECK GMBH (Germany)
  • Greece
    PARAGON ANONYMH ETAIREIA MELETON EREVNAS KAI EMPORIOU PROIGMENHS TEXNOLOGIAS (Greece)
  • Spain
    SAKANA, SOCIEDAD COOPERATIVA (Spain)
  • Spain
    SAVVY DATA SYSTEMS SL (Spain)
  • Spain
    SORALUCE S. COOP. (Spain)
  • Slovakia
    SPINEA SRO (Slovakia)
  • France
    VERTECH GROUP (France)


EU Contribution
  • €6,146,402.50
Overall Budget
  • €7,221,611.08