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An approach to Symbolic Modelling: a Railway Case study for Maintenance Recovery Level Identification
Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol.
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: 0000-0003-2976-5229
2017 (engelsk)Inngår i: Proceedings of MPMM 2016: 6th International Conference on Maintenance Performance Measurement and Management, 28 November 2016, Luleå, Sweden / [ed] Diego Galar, Dammika Seneviratne, Luleå: Luleå tekniska universitet, 2017, s. 187-Konferansepaper, Oral presentation with published abstract (Fagfellevurdert)
Abstract [en]

Increasing demand for quality and reliability of the asset is progressively seen as a motivation for improved maintenance procedure and management. Always the role of qualitative maintenance data is neglected in the maintenance recovery level identification. Human factor parameter in the maintenance and qualitative technical data, for instance, maintenance experience, maintenance knowledge, training, quality before maintenance, number of previous maintenance, maintenance documentation and environmental condition can be collected and evaluated to increase the accuracy of maintenance recovery estimation. This information always expressed linguistically and considering their effect in the recovery model is challenging. The aim of this study is to propose a symbolic model to capture the effect of above qualitative factor on maintenance recovery level. Fuzzy inference systems are applied to qualitative expert knowledge to extract the percentage effect which can be incorporated in the recovery level model. The tamping railway case study is considered to validate the model. The results show that the maintenance experience and environmental condition are playing main role in maintenance quality. The application of above method can be extended to asset condition assessment in combination with data driven and physical model

sted, utgiver, år, opplag, sider
Luleå: Luleå tekniska universitet, 2017. s. 187-
HSV kategori
Forskningsprogram
Drift och underhållsteknik
Identifikatorer
URN: urn:nbn:se:ltu:diva-63920ISBN: 978-91-7583-841-0 (digital)OAI: oai:DiVA.org:ltu-63920DiVA, id: diva2:1108276
Konferanse
Maintenance Performance and Measurement and Management 2016(MPMM 2016). November 28, Luleå, Sweden
Tilgjengelig fra: 2017-06-12 Laget: 2017-06-12 Sist oppdatert: 2018-05-07bibliografisk kontrollert

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Seneviratne, DammikaGarmabaki, Amir

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