Vepa Atamuradov
Vepa Atamuradov
Data Scientist at Assystem Energy & Infrastructure
Verified email at assystem.com
Title
Cited by
Cited by
Year
Prognostics and Health Management for Maintenance Practitioners - Review, Implementation and Tools Evaluation
BLNZ Vepa Atamuradov, Kamal Medjaher, Pierre Dersin
International Journal of Prognostics and Health Management 8 (Special Issue), 31, 2017
120*2017
Failure diagnostics for railway point machines using expert systems
V Atamuradov, F Camci, S Baskan, M Sevkli
2009 IEEE International Symposium on Diagnostics for Electric Machines …, 2009
512009
Railway point machine prognostics based on feature fusion and health state assessment
V Atamuradov, K Medjaher, F Camci, P Dersin, N Zerhouni
IEEE Transactions on Instrumentation and Measurement 68 (8), 2691-2704, 2018
262018
Integration of sampling based battery state of health estimation method in electric vehicles
C Ozkurt, F Camci, V Atamuradov, C Odorry
Applied Energy 175, 356-367, 2016
242016
Sampling based State of Health estimation methodology for Li-ion batteries
F Camci, C Ozkurt, O Toker, V Atamuradov
Journal of Power Sources 278, 668-674, 2015
122015
Machine health indicator construction framework for failure diagnostics and prognostics
V Atamuradov, K Medjaher, F Camci, N Zerhouni, P Dersin, B Lamoureux
Journal of Signal Processing Systems 92 (6), 591-609, 2020
112020
Degradation-level assessment and online prognostics for sliding chair failure on point machines
V Atamuradov, K Medjaher, F Camci, P Dersin, N Zerhouni
IFAC-PapersOnLine 51 (24), 208-213, 2018
92018
Fault detection by segment evaluation based on inferential statistics for asset monitoring
V Atamuradov, K Medjaher, B Lamoureux, P Dersin, N Zerhouni
92017
Segmentation Based Feature Evaluation and Fusion for Prognostics
FC Vepa Atamuradov
International Journal of Prognostics and Health Management 8 (2), 14, 2017
72017
Integrated maintenance and mission planning using remaining useful life information
F Camci, K Medjaher, V Atamuradov, A Berdinyazov
Engineering optimization 51 (10), 1794-1809, 2019
62019
Feature selection and fault‐severity classification–based machine health assessment methodology for point machine sliding‐chair degradation
V Atamuradov, K Medjaher, F Camci, N Zerhouni, P Dersin, B Lamoureux
Quality and Reliability Engineering International 35 (4), 1081-1099, 2019
62019
Evaluation of Features with Changing Effectiveness for Prognostics
FC Vepa Atamuradov
Annual Conference of the Prognostics and Health Management Society 2016 7, 2016
3*2016
A new adaptive prognostics approach based on hybrid feature selection with application to point machine monitoring
V Atamuradov, K Medjaher, P Dersin, N Zerhouni, F Camci
Annual Conference of the Prognostics and Health Management Society 2018, 1-9, 2018
22018
Performance evaluation for face recognition using wavelet-based image de-noising
V Atamuradov, A Eleyan, B Karlik
2013 The International Conference on Technological Advances in Electrical …, 2013
22013
Ensemble Learning-based Fault Detection in Nuclear Power Plant Screen Cleaners
A Deleplace, V Atamuradov, A Allali, J Pellé, R Plana, G Alleaume
IFAC-PapersOnLine 53 (2), 10354-10359, 2020
12020
Principal Component Analysis (PCA) Based Face Recognition by Bayesian Classifier
B Karlık, V Atamuradov
12010
A Dynamic Heuristic Optimization for Condition-based Maintenance Planning
A Rai, V Atamuradov, S Mahe, H Deroui, A Allali, A Aumont, JG Wacyk, ...
EasyChair, 2020
2020
Health-state Assessment Approach based on Unsupervised Feature Selection with Application to Nuclear Power Plant Water Screens
GARP Antoine DELEPLACE , Vepa ATAMURADOV, Mehdi BRAHIMI , Houssame ENNAJIHI
15th European Workshop on Advanced Control and Diagnosis, 2019
2019
Algorithms, Artificial Intelligence, Soft Computing and Informatics
V Atamuradov, K Medjaher, F Camci, P Dersin, N Zerhouni, F Gu, ...
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Articles 1–19