PRECOM - Predictive Cognitive Maintenance Decision Support System
Last updated: 2020-05-29 02:01
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Stakeholders
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COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES (France) -
CONSORCIO INSTITUTO TECNOLOXICO MATEMATICA INDUSTRIAL ITMATI (Spain) -
IDEKO S COOP (Spain)
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LINNEUNIVERSITETET (Sweden) -
TECHNISCHE UNIVERSITAET CHEMNITZ (Germany) -
TECHNISCHE UNIVERSITAET MUENCHEN (Germany)
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BOSCH REXROTH AG (Germany)
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E-MAINTENANCE SWEDEN AB (Sweden)
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OVERBECK GMBH (Germany)
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PARAGON ANONYMH ETAIREIA MELETON EREVNAS KAI EMPORIOU PROIGMENHS TEXNOLOGIAS (Greece) -
SAKANA, SOCIEDAD COOPERATIVA (Spain)
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SAVVY DATA SYSTEMS SL (Spain)
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SORALUCE S. COOP. (Spain)
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SPINEA SRO (Slovakia) -
VERTECH GROUP (France)
Academic/Research Organisations
Industry
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)