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Fuzzy Approach in Rail Track Degradation Prediction
المؤلفون المشاركون
Moridpour, Sara
Karimpour, Mostafa
Hitihamillage, Lalith
Elkhoury, Najwa
Hesami, Reyhaneh
المصدر
Journal of Advanced Transportation
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-7، 7ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-05-24
دولة النشر
مصر
عدد الصفحات
7
التخصصات الرئيسية
الملخص EN
Rail transport authorities around the world have been facing a significant challenge when predicting rail infrastructure maintenance work.
With the restrictions on financial support, the rail transport authorities are in pursuit of improved modern methods, which can provide a precise prediction of rail maintenance timeframe.
The expectation from such a method is to develop models to minimise the human error that is strongly related to manual prediction.
Such models will help rail transport authorities in understanding how the track degradation occurs at different conditions (e.g., rail type, rail profile) over time.
They need a well-structured technique to identify the precise time when rail tracks fail to minimise the maintenance cost/time.
The rail track characteristics that have been collected over the years will be used in developing a degradation prediction model for rail tracks.
Since these data have been collected in large volumes and the data collection is done both electronically and manually, it is possible to have some errors.
Sometimes these errors make it impossible to use the data in prediction model development.
An accurate model can play a key role in the estimation of the long-term behaviour of rail tracks.
Accurate models can increase the efficiency of maintenance activities and decrease the cost of maintenance in long-term.
In this research, a short review of rail track degradation prediction models has been discussed before estimating rail track degradation for the curves and straight sections of Melbourne tram track system using Adaptive Network-based Fuzzy Inference System (ANFIS) model.
The results from the developed model show that it is capable of predicting the gauge values with R2 of 0.6 and 0.78 for curves and straights, respectively.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Karimpour, Mostafa& Hitihamillage, Lalith& Elkhoury, Najwa& Moridpour, Sara& Hesami, Reyhaneh. 2018. Fuzzy Approach in Rail Track Degradation Prediction. Journal of Advanced Transportation،Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1181115
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Karimpour, Mostafa…[et al.]. Fuzzy Approach in Rail Track Degradation Prediction. Journal of Advanced Transportation No. 2018 (2018), pp.1-7.
https://search.emarefa.net/detail/BIM-1181115
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Karimpour, Mostafa& Hitihamillage, Lalith& Elkhoury, Najwa& Moridpour, Sara& Hesami, Reyhaneh. Fuzzy Approach in Rail Track Degradation Prediction. Journal of Advanced Transportation. 2018. Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1181115
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1181115
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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