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Enhancing the quality of data from a wheel profile measurement system: a proposed approach
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: 0000-0002-7458-6820
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
2015 (English)Conference paper, Oral presentation only (Refereed)
Abstract [en]

This investigation proposes a method for increasing the quality of data from an automatic condition monitoring system for railway rolling stock wheels, in order to assure the right data quality for further use of the data. The data quality improvement is used to ensure a higher reliability of the data analysis and to propose a new check routine to ensure that the sensors generate the same data for the same sample. A case study on field data shows how the data from different measurement setups differ for three of four measurements and why this check routine is needed. The paper ends with a discussion and conclusions concerning the improvements that are presented.

Abstract [en]

This paper presents a method for ensuring the quality of data from an automatic condition monitoring system for railway rolling stock wheels, in order to assure the right data quality for further use of the data. The quality assurance method presented is used to ensure a higher reliability of the data analysis and to propose a new check routine to ensure that the sensors generate the same data for the same sample. A case study on field data shows why this check routine is needed. The paper ends with a discussion and conclusions concerning the improvements that are presented.

Place, publisher, year, edition, pages
2015.
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-35092Local ID: 97b2adc4-0b6b-4491-88ba-fc54f309ccf2OAI: oai:DiVA.org:ltu-35092DiVA: diva2:1008344
Conference
International Congress of Condition Monitoring and Diagnostic Engineering Management : 01/12/2015 - 04/12/2015
Note
Godkänd; 2015; 20150829 (matasp)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

Open Access in DiVA

fulltext(663 kB)112 downloads
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Asplund, MatthiasLin, JanetRantatalo, Matti
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