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Soleimanmeigouni, ImanORCID iD iconorcid.org/0000-0002-3266-2434
Publications (10 of 11) Show all publications
Khajehei, H., Ahmadi, A., Soleimanmeigouni, I. & Nissen, A. (2019). Allocation of effective maintenance limit for railway track geometry. Structure and Infrastructure Engineering
Open this publication in new window or tab >>Allocation of effective maintenance limit for railway track geometry
2019 (English)In: Structure and Infrastructure Engineering, ISSN 1573-2479, E-ISSN 1744-8980Article in journal (Refereed) Epub ahead of print
Abstract [en]

The objective of this study has been to develop an approach to the allocation of an effective maintenancelimit for track geometry maintenance that leads to a minimisation of the total annual maintenancecost. A cost model was developed by considering the cost associated with inspection, preventivemaintenance, normal corrective maintenance and emergency corrective maintenance. The standarddeviation and extreme values of isolated defects of the longitudinal level were used as quality indicatorsfor preventive and corrective maintenance activities. The Monte Carlo technique was used tosimulate the track geometry behaviour under different maintenance limit scenarios and the effectivelimit was determined which minimises the total maintenance cost. The applicability of the model wastested in a case study on the Main Western Line in Sweden. Finally, a sensitivity analysis was carriedout on the inspection intervals, the emergency corrective maintenance cost and the maintenanceresponse time. The results show that there is an optimal region for selecting an effective limit.However, by considering the safety aspects in track geometry maintenance planning, it is suggestedthat the lower bound of the optimal region should be selected.

Place, publisher, year, edition, pages
Taylor & Francis, 2019
Keywords
Maintenance limit, track geometry, maintenance, degradation, Monte Carlo simulation, ordinal logistic regression
National Category
Infrastructure Engineering Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-75414 (URN)10.1080/15732479.2019.1629464 (DOI)000475267100001 ()2-s2.0-85068115609 (Scopus ID)
Available from: 2019-08-06 Created: 2019-08-06 Last updated: 2019-08-06
Soleimanmeigouni, I., Ahmadi, A., Nissen, A. & Xiao, X. (2019). Prediction of railway track geometry defects: a case study. Structure and Infrastructure Engineering
Open this publication in new window or tab >>Prediction of railway track geometry defects: a case study
2019 (English)In: Structure and Infrastructure Engineering, ISSN 1573-2479, E-ISSN 1744-8980Article in journal (Refereed) Epub ahead of print
Abstract [en]

The aim of this study has been to develop a data-driven analytical methodology for prediction of isolated track geometry defects, based on the measurement data obtained from a field study. Within the study, a defect-based model has been proposed to identify the degradation pattern of isolated longitudinal level defects. The proposed model considered the occurrence of shock events in the degradation path. Furthermore, the effectiveness of tamping intervention in rectifying the longitudinal level defects was analysed. The results show that the linear model is an appropriate choice for modelling the degradation pattern of longitudinal level defects. In addition, a section-based model has been developed using binary logistic regression to predict the probability of occurrence of isolated defects associated with track sections. The model considered the standard deviation and kurtosis of longitudinal level as explanatory variables. It has been found that the kurtosis of the longitudinal level is a statistically significant predictor of the occurrence of isolated longitudinal level defects in a given track section. The validation results show that the proposed binary logistic regression model can be used to predict the occurrence of isolated defects in a track section.

Place, publisher, year, edition, pages
Taylor & Francis, 2019
Keywords
Railway track maintenance, geometry defect, degradation, prediction, intervention limit, linear regression, binary logistic regression, shock events, tamping
National Category
Engineering and Technology Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-76538 (URN)10.1080/15732479.2019.1679193 (DOI)
Available from: 2019-10-28 Created: 2019-10-28 Last updated: 2019-11-04
Soleimanmeigouni, I. (2019). Predictive Models for Railway Track Geometry Degradation. (Doctoral dissertation). Luleå: Luleå University of Technology
Open this publication in new window or tab >>Predictive Models for Railway Track Geometry Degradation
2019 (English)Doctoral thesis, comprehensive summary (Other academic)
Alternative title[sv]
Prediktiva modeller för degradering av spårgeometri i järnväg
Abstract [en]

Railways are a vital and effective means of mass transportation and play a vital role in modern transportation and social development. The benefits of the railway compared to other transportation modes are a high capacity, high efficiency and low pollution, and owing to these advantages, railways are nowadays experiencing a higher demand for the transportation of passengers and goods. This is in turn imposing higher demands on the railway capacity and service quality. As a result, infrastructure managers are being driven to develop new strategies and plans to fulfil new requirements, which include a higher level of resilience against failure, a more robust and available infrastructure, and cost reduction. This can be achieved by making efficient and effective maintenance decisions by applying RAMS (reliability, availability, maintainability, and safety) analysis and LCC (life cycle cost) assessment.

A major part of the railway maintenance burden is related to track geometry maintenance. Due to the forces induced on the track by traffic, the railway degrades over time, causing deviations from the designed vertical and horizontal alignment. When the track geometry degrades to an unacceptable level, this can cause catastrophic consequences, such as derailment. Maintenance actions are used to control the degradation of the track and restore the geometry condition of the track sections to an acceptable state.

With the current advancements in the field of technologies for railway track geometry measurement, a large amount of event data and condition monitoring data is available. Such technologies, along with advances in predictive analytics, are providing the possibility of predicting the track geometry condition in support of a predictive maintenance strategy. The aim of the research conducted for this thesis has been to develop methodologies and tools for the prediction of railway track geometry degradation, in order to facilitate and enhance the capability of making effective decisions for inspection and maintenance planning. To achieve the purpose of this research, literature studies, case studies and simulations have been conducted.

Firstly, a literature review was performed to identify the existing knowledge gaps and challenges for track geometry degradation modelling and maintenance planning. Secondly, a case study was conducted to analyse the effect of tamping on the track geometry condition. By considering the track geometry condition before tamping as the predictor, a probabilistic approach was utilised to model the recovery after tamping interventions. Thirdly, a two-level piecewise linear framework was developed to model the track geometry evolution over a spatial and temporal space. This model was implemented in a comprehensive case study. Fourthly, a data-driven analytical model was developed to predict the occurrence of track geometry defects. This model enables infrastructure managers to predict the occurrence of severe isolated geometry defects. Finally, an integrated model was created to investigate the effect of different inspection intervals on the track geometry condition.

Place, publisher, year, edition, pages
Luleå: Luleå University of Technology, 2019
Series
Doctoral thesis / Luleå University of Technology 1 jan 1997 → …, ISSN 1402-1544
Keywords
Data-driven models, Degradation, Inspection, Maintenance, Predictive analytics, Tamping, Track geometry, Railway infrastructure, RAMS
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-72811 (URN)978-91-7790-310-9 (ISBN)978-91-7790-311-6 (ISBN)
Public defence
2019-09-12, F1031, Luleå, 09:30 (English)
Opponent
Supervisors
Available from: 2019-02-07 Created: 2019-02-07 Last updated: 2019-08-21Bibliographically approved
Soleimanmeigouni, I., Ahmadi, A., Arasteh Khouy, I. & Letot, C. (2018). Evaluation of the effect of tamping on the track geometry condition: a case study (ed.). Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit, 232(2), 408-420
Open this publication in new window or tab >>Evaluation of the effect of tamping on the track geometry condition: a case study
2018 (English)In: Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit, ISSN 0954-4097, E-ISSN 2041-3017, Vol. 232, no 2, p. 408-420Article in journal (Refereed) Published
Abstract [en]

Tamping is one of the major activities applied by railway maintenance managers to recover track geometry condition. Modelling the tamping effectiveness along with track geometry degradation is essential for long term prediction of track geometry behaviour. The aim of this study is to analyse theeffect of tamping on the different track geometry measures, i.e. longitudinal level, alignment and cant; on the basis of inspection car records from a part of Main Western Line in Sweden. To model recovery after tamping a probabilistic approach is applied. The track geometry condition before tamping was considered as the dominant factor for modelling the model parameters. Correlation analysis has performed to measure the linear relation between the recoveries of the different geometry measures. The results show a moderate correlation between the recovery of the longitudinal level and that of the cant, and a weak correlation between the recovery of the longitudinal level and that of the alignment. Linear regression and Wiener process are also applied to model track geometry degradation and to obtain degradation rates. Theeffect of tamping on degradation rate is analysed. It is observed that the degradation rate was increased after tamping intervention.  

Place, publisher, year, edition, pages
Sage Publications, 2018
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-15883 (URN)10.1177/0954409716671548 (DOI)000424780200006 ()f7391512-a026-4e7c-a4d0-96223a5957dd (Local ID)f7391512-a026-4e7c-a4d0-96223a5957dd (Archive number)f7391512-a026-4e7c-a4d0-96223a5957dd (OAI)
Note

Validerad;2018;Nivå 2;2018-02-12 (svasva)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2019-08-21Bibliographically approved
Soleimanmeigouni, I., Xiao, X., Ahmadi, A., Xie, M., Nissen, A. & Kumar, U. (2018). Modelling the evolution of ballasted railway track geometry by a two-level piecewise model. Structure and Infrastructure Engineering, 14(1), 33-45
Open this publication in new window or tab >>Modelling the evolution of ballasted railway track geometry by a two-level piecewise model
Show others...
2018 (English)In: Structure and Infrastructure Engineering, ISSN 1573-2479, E-ISSN 1744-8980, Vol. 14, no 1, p. 33-45Article in journal (Refereed) Published
Abstract [en]

Accurate prediction and efficient simulation of the evolution of track geometry condition is a prerequisite for planning effective railway track maintenance. In this regard, the degradation and tamping effect should be equipped with proper and efficient probabilistic models. The possible correlation induced by the spatial structure also needs to be taken into account when modelling the track geometry degradation. To address these issues, a two-level piecewise linear model is proposed to model the degradation path. At the first level, the degradation characteristic of each track section is modelled by a piecewise linear model with known break points at the tamping times. At the second level, Autoregressive Moving Average models are used to capture the spatial dependences between the parameters of the regression lines indexed by their locations. To illustrate the model, a comprehensive case study is presented using data from the Main Western Line in Sweden

Place, publisher, year, edition, pages
Taylor & Francis, 2018
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-63815 (URN)10.1080/15732479.2017.1326946 (DOI)000415674800003 ()2-s2.0-85019663898 (Scopus ID)
Note

Validerad;2017;Nivå 2;2017-11-01 (andbra)

Available from: 2017-06-09 Created: 2017-06-09 Last updated: 2019-08-21Bibliographically approved
Soleimanmeigouni, I., Ahmadi, A. & Kumar, U. (2018). Track geometry degradation and maintenance modelling: A review (ed.). Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit, 232(1), 73-102
Open this publication in new window or tab >>Track geometry degradation and maintenance modelling: A review
2018 (English)In: Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit, ISSN 0954-4097, E-ISSN 2041-3017, Vol. 232, no 1, p. 73-102Article in journal (Refereed) Published
Abstract [en]

Increased demand for railway transportation is creating a need for higher train speeds and axle loads. These, in turn,increase the likelihood of track degradation and failures. Modelling the degradation behaviour of track geometry anddevelopment of applicable and effective maintenance strategies has become a challenging concern for railway infrastructuremanagers. During the last three decades, a number of track geometry degradation and maintenance modellingapproaches have been developed to predict and improve the railway track geometry condition. In this paper, existingtrack geometry measures are identified and discussed. Available models for track geometry degradation are reviewedand classified. Tamping recovery models are also reviewed and discussed to identify the issues and challenges of differentavailable methodologies and models. Existing track geometry maintenance models are reviewed and critical observationson each contribution are provided. The most important track maintenance scheduling models are identified and discussed.Finally, the paper provides directions for further research.

Place, publisher, year, edition, pages
Sage Publications, 2018
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-14797 (URN)10.1177/0954409716657849 (DOI)000419833100006 ()2-s2.0-85040348348 (Scopus ID)e3794ef4-cb25-49e0-b55c-a579ff2ea6f5 (Local ID)e3794ef4-cb25-49e0-b55c-a579ff2ea6f5 (Archive number)e3794ef4-cb25-49e0-b55c-a579ff2ea6f5 (OAI)
Note

Validerad;2018;Nivå 2;2018-01-18 (svasva)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2019-08-21Bibliographically approved
Ahmadi, A., Soleimanmeigouni, I., Letot, C. & Block, J. (2017). Inspection Optimization under imperfect maintenance performance. In: Diego Galar, Dammika Seneviratne (Ed.), Proceedings of MPMM 2016: 6th International Conference on Maintenance Performance Measurement and Management, 28 November 2016, Luleå, Sweden. Paper presented at Maintenance Performance and Measurement and Management 2016(MPMM 2016). November 28, Luleå, Sweden (pp. 139-). Luleå: Luleå tekniska universitet
Open this publication in new window or tab >>Inspection Optimization under imperfect maintenance performance
2017 (English)In: 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, p. 139-Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

Scheduled maintenance and inspection development is one of the main requirements for emergency equipment and safety devices. These types of devices have hidden functions which are used intermittently or infrequently, so their failure will not be evident to the operating crew. The analytical model presented in this paper deals with the periodically tested units with overhauls (preventive maintenance) after certain number of inspections and a renewal after a series of overhauls. The cost based optimization method presented in this paper identifies the optimum interval and frequency of Failure Finding Inspection (FFI) and restoration. In the proposed model, repair due to failures found by inspection makes the unit As Bad As Old, and restoration/overhaul action rejuvenates the unit to any condition between As Good As New and As Bad As Old. As Good As New effectiveness also is considered for renewal action. It considers inspection and repair times, and takes into account the costs associated with inspection, repair, restoration, and also the cost of accidents due to the occurrence of multiple failure. The results show that when the unit is not under aging process, the optimal alternative for each inspection interval is the one with highest possible number of inspection without restoration. Finally, it is observed that when the cost of accident is quite high it is needed to perform inspections at smaller intervals to control the risk of accident.

Place, publisher, year, edition, pages
Luleå: Luleå tekniska universitet, 2017
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-63893 (URN)978-91-7583-841-0 (ISBN)
Conference
Maintenance Performance and Measurement and Management 2016(MPMM 2016). November 28, Luleå, Sweden
Available from: 2017-06-12 Created: 2017-06-12 Last updated: 2018-06-28Bibliographically approved
Soleimanmeigouni, I. & Ahmadi, A. (2016). A Survey on Track Geometry Degradation Modelling (ed.). In: (Ed.), Uday Kumar; Alireza Ahmadi; Ajit Kumar Verma; Prabhakar Varde (Ed.), Current Trends in Reliability, Availability, Maintainability and Safety: An Industry Perspective. Paper presented at International Conference ICRESH-ARMS 2015 : 01/06/2015 - 04/06/2015 (pp. 3-12). : Encyclopedia of Global Archaeology/Springer Verlag
Open this publication in new window or tab >>A Survey on Track Geometry Degradation Modelling
2016 (English)In: Current Trends in Reliability, Availability, Maintainability and Safety: An Industry Perspective / [ed] Uday Kumar; Alireza Ahmadi; Ajit Kumar Verma; Prabhakar Varde, Encyclopedia of Global Archaeology/Springer Verlag, 2016, p. 3-12Conference paper, Published paper (Refereed)
Abstract [en]

Railway transportation is exposed to a higher demand that necessitates the use of trains with higher speed and heavier axle loads. These increase the track geometry degradation rate, which needs a more effective control on geometry degradation. Keeping the track geometry in acceptable levels requires proper inspection and maintenance planning that inevitably entails in-depth knowledge of track geometry degradation. In addition, it is needed to identify the most effective approach for degradation modelling. To do so, it is vital to synthesis published results into a summary of what is known and validated and what is not as a major step. To this end, this paper reviews track degradation models, discusses various degradation measures, and proposes directions for future researches. It is found that combining the mechanistic and statistical approaches can leads to a more accurate prediction of track geometry degradation behaviour.

Place, publisher, year, edition, pages
Encyclopedia of Global Archaeology/Springer Verlag, 2016
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-27387 (URN)10.1007/978-3-319-23597-4_1 (DOI)0d35d95c-b94f-41cf-923e-ede84f670870 (Local ID)978-3-319-23596-7 (ISBN)978-3-319-23597-4 (ISBN)0d35d95c-b94f-41cf-923e-ede84f670870 (Archive number)0d35d95c-b94f-41cf-923e-ede84f670870 (OAI)
Conference
International Conference ICRESH-ARMS 2015 : 01/06/2015 - 04/06/2015
Note
Godkänd; 2016; Bibliografisk uppgift: Containing selected papers from the ICRESH-ARMS 2015 conference in Lulea, Sweden, collected by editors with years of experiences in Reliability and maintenance modeling, risk assessment, and asset management, this work maximizes reader insights into the current trends in Reliability, Availability, Maintainability and Safety (RAMS) and Risk Management. Featuring a comprehensive analysis of the significance of the role of RAMS and Risk Management in the decision making process during the various phases of design, operation, maintenance, asset management and productivity in Industrial domains, these proceedings discuss key issues and challenges in the operation, maintenance and risk management of complex engineering systems and will serve as a valuable resource for those in the field. ; 20151222 (andbra)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-06-28Bibliographically approved
Letot, C., Soleimanmeigouni, I., Ahmadi, A. & Dehombreux, P. (2016). An adaptive opportunistic maintenance model based on railway track condition prediction (ed.). Paper presented at IFAC Workshop on Advanced Maintenance Engineering, Service and Technology : 19/10/2016 - 21/10/2016. IFAC-PapersOnLine, 49(28), 120-125
Open this publication in new window or tab >>An adaptive opportunistic maintenance model based on railway track condition prediction
2016 (English)In: IFAC-PapersOnLine, ISSN 2405-8963, Vol. 49, no 28, p. 120-125Article in journal (Refereed) Published
Abstract [en]

Maintaining a track line in a good condition is a continuous challenge since it has to deal with various track line heterogeneities that contribute to accelerate its degradation. As a result, railway tracks should be inspected regularly to detect geometry faults and to plan maintenance actions in consequence. A maintenance plan that minimizes track maintenance cost is highly desirable by infrastructure managers. This paper presents an adaptive maintenance scheduling based on track condition prediction. The degradation indicator is the standard deviation of the longitudinal (SDL) level that is sampled on every 200m-long track section. Standards define some thresholds on this indicator that correspond to different levels of severity and related penalty costs. From collected data, a degradation model that uses a random coefficient Wiener degradation-based process is built. A probabilistic model to simulate the recovery effect after the maintenance action (tamping) is also used. Based on this degradation and recovery models, a cost model is built to find the optimal time for tamping on a single track section. After that we use a Monte Carlo approach to assess the performance of the cost model for the whole track line, considering both calendar based and adaptive opportunistic tamping actions. The results show that the adaptive opportunistic maintenance strategy has a lower cost per unit of time than the systematic preventive maintenance.

National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-30901 (URN)10.1016/j.ifacol.2016.11.021 (DOI)000401258400021 ()2-s2.0-85006371622 (Scopus ID)4e369732-ec6c-439c-bbc6-de538df1578f (Local ID)4e369732-ec6c-439c-bbc6-de538df1578f (Archive number)4e369732-ec6c-439c-bbc6-de538df1578f (OAI)
Conference
IFAC Workshop on Advanced Maintenance Engineering, Service and Technology : 19/10/2016 - 21/10/2016
Note

Konferensartikel i tidskrift

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved
Soleimanmeigouni, I., Ahmadi, A., Letot, C., Nissen, A. & Kumar, U. (2016). Cost-Based Optimization of Track Geometry Inspection (ed.). In: (Ed.), : . Paper presented at World Congress of Railway Research : 29/05/2016 - 02/06/2016.
Open this publication in new window or tab >>Cost-Based Optimization of Track Geometry Inspection
Show others...
2016 (English)Conference paper, Oral presentation only (Refereed)
Abstract [en]

Track geometry bear huge static and dynamic forces that accelerate degradation process. As a result, railway track should be inspected regularly to detect geometry faults and to plan maintenance actions in advanced. An inspection plan that minimizes track maintenance cost is highly desirable by infrastructure managers. This paper proposes constructing an integrated model to identify the optimum track geometry inspection interval. To this end, it develops a long term prediction model combining degradation, shock event, and tamping recovery models. It applies the Wiener process to model track geometry degradation, simulates shock event times using an exponential distribution, and uses a probabilistic model to model recovery after tamping. With the proposed integrated model and simulation, it is possible to identify the optimum track geometry inspection frequencies that minimize total track maintenance costs.

National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-38068 (URN)c55ed309-0501-42a8-805f-d86f7f125a90 (Local ID)c55ed309-0501-42a8-805f-d86f7f125a90 (Archive number)c55ed309-0501-42a8-805f-d86f7f125a90 (OAI)
Conference
World Congress of Railway Research : 29/05/2016 - 02/06/2016
Note

Godkänd; 2016; 20160826 (solmei)

Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2018-06-28Bibliographically approved
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ORCID iD: ORCID iD iconorcid.org/0000-0002-3266-2434

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