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Reliability evaluation of an HVAC ventilation system with FTA and RBD analysis
Dept of Information Engineering, University of Florence, via di S. Marta 3, 50139, Florence, Italy.
Dept of Information Engineering, University of Florence, via di S. Marta 3, 50139, Florence, Italy.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics. Industry and Transport Division, Tecnalia Research and Innovation, Miñano (Araba), 01510, Spain.ORCID iD: 0000-0002-4107-0991
2020 (English)In: 2020 International Symposium on Systems Engineering (ISSE) Proceedings, IEEE, 2020Conference paper, Published paper (Refereed)
Abstract [en]

Rail industry is rapidly developing, and rail becomes ever more viable in a wide range of regions. Therefore, the passenger experience and comfort has become a major concern for operators in the world. Heating, ventilation and air conditioning systems are used in railways to provide passengers thermal comfort and proper air motion. The ventilation system is one of the main elements of the system. Its components include both mechanical and electronic devices. All components are subjected to stress, and this tends to reduce their life cycle; the reliability of the ventilation system must be evaluated to plan and schedule appropriate maintenance activities. The paper evaluates reliability of the ventilation system using fault tree analysis and a reliability block diagram. Both techniques analyse data qualitatively; moreover, with specific algorithms they also provide quantitative results in term of reliability and probability of system failure. The paper compares the two reliability evaluation methods to verify their accuracy.

Place, publisher, year, edition, pages
IEEE, 2020.
Series
IEEE International Symposium on Systems Engineering (ISSE), E-ISSN 2687-8828
Keywords [en]
Failure analysis, Fault diagnosis, Railway engineering, Redundancy, Reliability
National Category
Infrastructure Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-85238DOI: 10.1109/ISSE49799.2020.9272024ISI: 000649731200011Scopus ID: 2-s2.0-85098736346OAI: oai:DiVA.org:ltu-85238DiVA, id: diva2:1564117
Conference
6th International Symposium on Systems Engineering (IEEE ISSE 2020), Virtual, October 12-November 12, 2020
Note

ISBN för värdpublikation: 978-1-7281-8602-3

Available from: 2021-06-11 Created: 2021-06-11 Last updated: 2021-06-11Bibliographically approved

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Galar, Diego

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