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Condition Monitoring of Gravel Roads: Current Methods and Future Directions
Linnaeus University, Faculty of Technology, Department of Mechanical Engineering. (HUG;DISA-SIG)ORCID iD: 0000-0002-2637-6175
Linnaeus University, Faculty of Technology, Department of Informatics. (HUG)ORCID iD: 0000-0001-7048-8089
Linnaeus University, Faculty of Technology, Department of Mechanical Engineering. (HUG;DISA-SIG)ORCID iD: 0000-0001-7732-1898
2020 (English)In: Advances in Asset Management and Condition Monitoring. Smart Innovation, Systems and Technologies: COMADEM 2019 / [ed] Ball A., Gelman L., Rao B., Springer, 2020, p. 451-461Chapter in book (Refereed)
Abstract [en]

High quality information is essential for the efficient decision making. Road condition is, together with traffic frequency, commonly used as input for classifying road status. Road condition is also a major input for the maintenance executor (vehicle operator) when deciding on maintenance actions, such as amount of gravel to replenish. With better condition related information, the maintenance execution as well as maintenance planning could be greatly improved. The current deficiencies in gravel road condition monitoring methods and technologies are described in this paper, and an approach for objective measurement of gravel road condition is proposed, including new measurement techniques and systems as well as information processing for decision making. This is realized by utilizing research findings from the area of signal processing, maintenance engineering, and information systems engineering in the specific context of gravel road monitoring, thus utilizing available technologies and methods as well as physics.

Place, publisher, year, edition, pages
Springer, 2020. p. 451-461
Series
Smart Innovation, Systems and Technologies, ISSN 2190-3018, E-ISSN 2190-3026 ; 166
Keywords [en]
Gravel road maintenance, Condition monitoring, Signal processing, Structural dynamics, Measurement technique, Information systems engineering
National Category
Reliability and Maintenance
Research subject
Technology (byts ev till Engineering), Mechanical Engineering; Technology (byts ev till Engineering), Terotechnology; Computer and Information Sciences Computer Science, Information Systems
Identifiers
URN: urn:nbn:se:lnu:diva-97833DOI: 10.1007/978-3-030-57745-2_38Scopus ID: 2-s2.0-85091301042ISBN: 978-3-030-57744-5 (print)ISBN: 978-3-030-57745-2 (electronic)OAI: oai:DiVA.org:lnu-97833DiVA, id: diva2:1462602
Funder
The Kamprad Family FoundationAvailable from: 2020-08-31 Created: 2020-08-31 Last updated: 2022-04-12Bibliographically approved

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Kans, MirkaCampos, JaimeHåkansson, Lars

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