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Ali Jamshidi
Ali Jamshidi
Praedico, Intelligent Railway Infrastructure
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Titel
Zitiert von
Zitiert von
Jahr
Developing a new fuzzy inference system for pipeline risk assessment
A Jamshidi, A Yazdani-Chamzini, SH Yakhchali, S Khaleghi
Journal of loss prevention in the process industries 26 (1), 197-208, 2013
2342013
A big data analysis approach for rail failure risk assessment
A Jamshidi, S Faghih‐Roohi, S Hajizadeh, A Núñez, R Babuska, ...
Risk analysis 37 (8), 1495-1507, 2017
1362017
A decision support approach for condition-based maintenance of rails based on big data analysis
A Jamshidi, S Hajizadeh, Z Su, M Naeimi, A Núñez, R Dollevoet, ...
Transportation Research Part C: Emerging Technologies 95, 185-206, 2018
822018
Multi-level condition-based maintenance planning for railway infrastructures – A scenario-based chance-constrained approach
BDS Z. Su, A. Jamshidi, A. Núñez, S. Baldi
Transportation Research Part C: Emerging technologies. 84, 92-123, 2017
762017
Integrated condition-based track maintenance planning and crew scheduling of railway networks
Z Su, A Jamshidi, A Núñez, S Baldi, B De Schutter
Transportation Research Part C: Emerging Technologies 105, 359-384, 2019
542019
Probabilistic defect-based risk assessment approach for rail failures in railway infrastructure
A Jamshidi, SF Roohi, A Núñez, R Babuska, B De Schutter, R Dollevoet, ...
IFAC-PapersOnLine 49 (3), 73-77, 2016
362016
Robust and predictive fuzzy key performance indicators for condition-based treatment of squats in railway infrastructures
A Jamshidi, A Núñez, R Dollevoet, Z Li
Journal of Infrastructure Systems 23 (3), 04017006, 2017
292017
Pareto-based maintenance decisions for regional railways with uncertain weld conditions using the Hilbert spectrum of axle box acceleration
A Nunez, A Jamshidi, H Wang
IEEE Transactions on Industrial Informatics 15 (3), 1496-1507, 2018
232018
Efficiency prediction of control room operators based on human reliability analysis and dynamic decision‐making style in the process industry
E Zarei, I Mohammadfam, MM Aliabadi, A Jamshidi, F Ghasemi
Process Safety Progress 35 (2), 192-199, 2016
212016
Model predictive control for maintenance operations planning of railway infrastructures
Z Su, A Núñez, A Jamshidi, S Baldi, Z Li, R Dollevoet, B De Schutter
Computational Logistics: 6th International Conference, ICCL 2015, Delft, The …, 2015
92015
Fuzzy maintenance decision support for treating squats in railway infrastructures
A Jamshidi, A Núñez, Z Li, R Dollevoet
ASME/IEEE Joint Rail Conference 56451, V001T01A013, 2015
42015
Artificial intelligence in railway infrastructure: current research, challenges, and future opportunities
W Phusakulkajorn, A Núñez, H Wang, A Jamshidi, A Zoeteman, B Ripke, ...
Intelligent Transportation Infrastructure 2, liad016, 2023
32023
A hybrid predictive methodology for head checks in railway infrastructure
A Meghoe, A Jamshidi, R Loendersloot, T Tinga
Proceedings of the Institution of Mechanical Engineers, Part F: Journal of …, 2021
32021
Intelligent rail maintenance decision support system using KPIs
A Jamshidi
12019
Distributed chance-constrained model predictive control for condition-based maintenance planning for railway infrastructures
Z Su, A Jamshidi, A Núñez, S Baldi, BD Schutter
Predictive Maintenance in Dynamic Systems: Advanced Methods, Decision …, 2019
12019
Towards the development of a hybrid methodology of head checks in railway infrastructure
A Meghoe, A Jamshidi, R Loendersloot, T Tinga
Railway Engineering 2019: 15th International Conference & Exhibition, 1-12, 2019
2019
Evolutionary multiobjective optimization for rail maintenance operations in a regional railway network
ZL A. Núñez, A. Jamshidi, H. Wang, J. Hendriks, I. Ramirez, J. Moraal, R ...
IEEE World Congress on Computational Intelligence (WCCI 2018), 2018
2018
Influencing factors for condition-based maintenance in railway tracks using knowledge-based approach
ZL A. Jamshidi, S. Hajizadeh, M. Naeimi, A. Núñez
Proceedings of the First International Conference on Rail Transportation …, 2017
2017
Key performance indicators using an interval based fuzzy prediction modeling to treat squats in railway infrastructures”. Proceedings of the Third International Conference on …
RD A. Jamshidi, A. Núñez, M. Molodova, Z. Li
RAILWAYS2016, Cagliari, Sardina, Italy, Paper 159, 2016
2016
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