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Green Condition based Maintenance - an integrated system approach for health assessment and energy optimization of manufacturing machines.
Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.ORCID-id: 0000-0002-4107-0991
Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
PREDICT.
2013 (engelsk)Inngår i: 10th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2013, CM 2013 and MFPT 2013, 2013, Vol. 2, s. 1069-1084Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The normal strategy to keep production systems in good conditions is to apply preventive maintenance practices, with a supportive workforce "reactive" in the case of clearly detected malfunctions. This impact on quality, cost and in general, productivity. Added to this, the uncertainty of machine reliability at any given time, also impacts on product/production delivery times. It is known also that a worn-out mechanism can have higher energy consumption. The use of intelligent predictive technologies could contribute to improve the situation, but these techniques are not widely used in the production environment. Often sensors and monitors required for the production environment are non-standard and require costly implementations. Monitoring and profiling the electric current consumption in combination with operational data is an easy to implement Green Condition based Maintenance (Green CBM) technique to improve the overall business effectiveness, under a triple perspective: • Optimizing maintenance strategies based on the prediction of potential failures and schedule maintenance operations in convenient periods and avoid unexpected breakdowns • Operation: Managing energy as a production resource and reduce its consumption • Product reliability: Providing the machine tool builder with real data about the behaviour of the product and their critical components This also opens for new business models for maintenance and service providers. The described Green CBM technique can be applied in many types of machines. In machine tools, focusing on spindles and linear guides, as responsible for the most common and cost-intensive downtimes

sted, utgiver, år, opplag, sider
2013. Vol. 2, s. 1069-1084
HSV kategori
Forskningsprogram
Drift och underhållsteknik
Identifikatorer
URN: urn:nbn:se:ltu:diva-31298Lokal ID: 5718ed6d-c8d6-482b-9deb-bfab2c988556ISBN: 978-1-62993-992-6 (tryckt)OAI: oai:DiVA.org:ltu-31298DiVA, id: diva2:1004531
Konferanse
International Conference on Condition Monitoring and Machinery Failure Prevention Technologies : 18/06/2013 - 20/06/2013
Merknad
Godkänd; 2013; 20130815 (joarch)Tilgjengelig fra: 2016-09-30 Laget: 2016-09-30 Sist oppdatert: 2017-11-25bibliografisk kontrollert

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Johansson, Carl-AndersGalar, DiegoVillarejo, Roberto

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Totalt: 142 treff
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