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Aggregation of electric current consumption features for extraction of maintenance KPIs
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0002-4107-0991
2014 (English)In: Proceedings of Maintenance Performance Measurement and Management (MPMM) Conference 2014 / [ed] José Torres Farinha; Diego Galar, Coimbra: Faculdade de Ciências e Tecnologia da Universidade de Coimbra, Departamento de Engenharia Mecânica , 2014, 157-162 p.Conference paper, Published paper (Refereed)
Abstract [en]

For all electric powered machines there is apossibility of extracting information and calculating KeyPerformance Indicators (KPIs) from the electric current signal.Depending on the time window, sampling frequency and type ofanalysis, different indicators from the micro to macro level canbe calculated for such aspects as maintenance, production,energy consumption etc.On the micro-level, the indicators are generally used forcondition monitoring and diagnostics and are normally based ona short time window and a high sampling frequency. The macroindicators are normally based on a longer time window with aslower sampling frequency and are used as indicators for overallperformance, cost or consumption.The indicators can be calculated directly from the currentsignal but can also be based on a combination of informationfrom the current signal and operational data like rpm, positionetc.One or several of those indicators can be used for predictionand prognostics of a machine’s future behaviour.This paper uses this technique to calculate indicators formaintenance and energy optimisation in electric poweredmachines and fleet of machines, especially machine tools.

Place, publisher, year, edition, pages
Coimbra: Faculdade de Ciências e Tecnologia da Universidade de Coimbra, Departamento de Engenharia Mecânica , 2014. 157-162 p.
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-30205DOI: 10.14195/978-972-8954-42-0_29Local ID: 3f3256db-39f4-4ba3-9338-8b713a172210ISBN: 978-972-8954-42-0 (print)OAI: oai:DiVA.org:ltu-30205DiVA: diva2:1003432
Conference
Maintenance Performance Measurement and Management : 04/09/2014 - 05/09/2014
Note
Godkänd; 2015; 20150105 (vicsim)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-10-20Bibliographically approved

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Johansson, Carl-AndersSimon, VictorGalar, Diego
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