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Predictive Cognitive Maintenance Decision Support System

Objetivo

Cheaper and more powerful sensors, together with big data analytics, offer an unprecedented opportunity to track machine-tool performance and health condition. However, manufacturers only spend 15% of their total maintenance costs on predictive (vs reactive or preventative) maintenance.
The project will deploy and test a predictive cognitive maintenance decision-support system able to identify and localize damage, assess damage severity, predict damage evolution, assess remaining asset life, reduce the probability of false alarms, provide more accurate failure detection, issue notices to conduct preventive maintenance actions and ultimately increase in-service efficiency of machines by at least 10%.
The platform includes 4 modules: 1) a data acquisition module leveraging external sensors as well as sensors directly embedded in the machine tool components, 2) an artificial intelligence module combining physical models, statistical models and machine-learning algorithms able to track individual health condition and supporting a large range of assets and dynamic operating conditions, 3) a secure integration module connecting the platform to production planning and maintenance systems via a private cloud and providing additional safety, self-healing and self-learning capabilities and 4) a human interface module including production dashboards and augmented reality interfaces for facilitating maintenance tasks.
The consortium includes 3 end-user factories, 3 machine-tool suppliers, 1 leading component supplier, 4 innovative SMEs, 3 research organizations and 3 academic institutions. Together, we will validate the platform in a broad spectrum of real-life industrial scenarios (low volume, high volume and continuous manufacturing). We will also demonstrate the direct impact of the platform on maintainability, availability, work safety and costs in order to document the results in detailed business cases for widespread industry dissemination and exploitation.

Ámbito científico

  • /ciencias naturales/matemáticas/matemáticas aplicadas/estadística y probabilidad
  • /ciencias sociales/economía y empresa
  • /ciencias naturales/informática y ciencias de la información/inteligencia artificial
  • /ciencias sociales/economía y empresa/ciencia económica/economía de la producción
  • /ciencias naturales/informática y ciencias de la información/ciencia de datos/análisis de datos

Convocatoria de propuestas

H2020-FOF-2017
Consulte otros proyectos de esta convocatoria

Régimen de financiación

IA - Innovation action

Coordinador

LINNEUNIVERSITETET
Dirección
Linnaeus University
35195 Vaxjo
Suecia
Tipo de actividad
Higher or Secondary Education Establishments
Aportación de la UE
€ 792 475

Participantes (16)

E-MAINTENANCE SWEDEN AB
Suecia
Aportación de la UE
€ 490 568,75
Dirección
Framtidsvagen 12
351 96 Vaxjo
Tipo de actividad
Private for-profit entities (excluding Higher or Secondary Education Establishments)
PARAGON ANONYMH ETAIREIA MELETON EREVNAS KAI EMPORIOU PROIGMENHS TEXNOLOGIAS
Greece
Aportación de la UE
€ 323 312,50
Dirección
Karaoli Kai Dimitriou 13
11146 Galatsi N Attikis
Tipo de actividad
Private for-profit entities (excluding Higher or Secondary Education Establishments)
SAVVY DATA SYSTEMS SL
España
Aportación de la UE
€ 225 437,50
Dirección
Portuetxe Kalea 45A 4 4
20018 Donostia
Tipo de actividad
Private for-profit entities (excluding Higher or Secondary Education Establishments)
VERTECH GROUP
Francia
Aportación de la UE
€ 115 850
Dirección
11 Rue Defly
06000 Nice
Tipo de actividad
Private for-profit entities (excluding Higher or Secondary Education Establishments)
BOSCH REXROTH AG
Alemania
Aportación de la UE
€ 202 370
Dirección
Zum Eisengiesser 1
97816 Lohr
Tipo de actividad
Private for-profit entities (excluding Higher or Secondary Education Establishments)
SORALUCE S. COOP.
España
Aportación de la UE
€ 218 312,50
Dirección
Osintxu Auzoa
20570 Bergara
Tipo de actividad
Private for-profit entities (excluding Higher or Secondary Education Establishments)
SAKANA, SOCIEDAD COOPERATIVA
España
Aportación de la UE
€ 199 325
Dirección
Zona Sarrarte S N
31830 Lakuntza
Tipo de actividad
Private for-profit entities (excluding Higher or Secondary Education Establishments)
OVERBECK GMBH
Alemania
Aportación de la UE
€ 218 312,50
Dirección
Konrad Adenauer Strasse 27
35745 Herbon
Tipo de actividad
Private for-profit entities (excluding Higher or Secondary Education Establishments)
SPINEA SRO
Eslovaquia
Aportación de la UE
€ 129 500
Dirección
Okrajova 33
08005 Presov
Tipo de actividad
Private for-profit entities (excluding Higher or Secondary Education Establishments)
GOMA CAMPS SOCIEDAD ANONIMA
España
Aportación de la UE
€ 171 893,75
Dirección
Calle Cardenal Goma 29
43450 La Riba Tarragona
Tipo de actividad
Private for-profit entities (excluding Higher or Secondary Education Establishments)
LANTIER SL
España
Aportación de la UE
€ 213 937,50
Dirección
Poligono Industrial Aldaba Sn
20400 Tolosa
Tipo de actividad
Private for-profit entities (excluding Higher or Secondary Education Establishments)
IDEKO S COOP
España
Aportación de la UE
€ 687 000
Dirección
Calle Arriaga 2
20870 Elgoibar
Tipo de actividad
Research Organisations
COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
Francia
Aportación de la UE
€ 470 920
Dirección
Rue Leblanc 25
75015 Paris 15
Tipo de actividad
Research Organisations
CONSORCIO INSTITUTO TECNOLOXICO MATEMATICA INDUSTRIAL ITMATI
España
Aportación de la UE
€ 302 250
Dirección
Praza Obradoiro, Colexio San Xerome S/n
15782 Santiago De Compostela
Tipo de actividad
Research Organisations
TECHNISCHE UNIVERSITAET MUENCHEN
Alemania
Aportación de la UE
€ 820 125
Dirección
Arcisstrasse 21
80333 Muenchen
Tipo de actividad
Higher or Secondary Education Establishments
TECHNISCHE UNIVERSITAET CHEMNITZ
Alemania
Aportación de la UE
€ 564 812,50
Dirección
Strasse Der Nationen 62
09111 Chemnitz
Tipo de actividad
Higher or Secondary Education Establishments