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Vepa Atamuradov

Observed names: V. ATAMURADOV, V. Atamuradov
ORCID: 0000-0002-8417-8417
Observed ORCID: 0000-0002-8417-8417
OpenAlex ID: A5027291480
Prognostics and Health Management for Maintenance Practitioners - Review, Implementation and Tools Evaluation
2020 · Vepa Atamuradov, Kamal Medjaher, et al. · International Journal of Prognostics and Health Management · 237
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Railway Point Machine Prognostics Based on Feature Fusion and Health State Assessment
2018 · Vepa Atamuradov, Kamal Medjaher, et al. · IEEE Transactions on Instrumentation and Measurement · 99
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Failure diagnostics for railway point machines using expert systems
2009 · V. Atamuradov, F. Camci, et al. · IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) · 73
Machine Health Indicator Construction Framework for Failure Diagnostics and Prognostics
2020 · Vepa Atamuradov, Kamal Medjaher, et al. · Journal of Signal Processing Systems · 59
Integration of sampling based battery state of health estimation method in electric vehicles
2016 · Celil Ozkurt, Fatih Camci, et al. · Applied Energy · 37
Ensemble Learning-based Fault Detection in Nuclear Power Plant Screen Cleaners
2020 · A. Deleplace, V. Atamuradov, et al. · IFAC-PapersOnLine · 24
Feature selection and fault‐severity classification–based machine health assessment methodology for point machine sliding‐chair degradation
2019 · Vepa Atamuradov, Kamal Medjaher, et al. · Quality and Reliability Engineering International · 22
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Integrated maintenance and mission planning using remaining useful life information
2018 · Fatih Camci, Kamal Medjaher, et al. · Engineering Optimization · 18
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Degradation-level Assessment and Online Prognostics for Sliding Chair Failure on Point Machines
2018 · Vepa Atamuradov, Kamal Medjaher, et al. · IFAC-PapersOnLine · 14
Sampling based State of Health estimation methodology for Li-ion batteries
2014 · Fatih Camci, Celil Ozkurt, et al. · Journal of Power Sources · 13
Fault Detection By Segment Evaluation Based On Inferential Statistics For Asset Monitoring
2017 · Vepa Atamuradov, Kamal Medjaher, et al. · Annual Conference of the PHM Society · 11
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Deep Learning based Crack Growth Analysis for Structural Health Monitoring
2022 · A. CHAMBON, A. BELLAOUCHOU, et al. · IFAC-PapersOnLine · 3
Segmentation Based Feature Evaluation and Fusion for Prognostics
2020 · Vepa Atamuradov, Fatih Camci · International Journal of Prognostics and Health Management · 3
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Evaluation of Features with Changing Effectiveness for Prognostics
2016 · Vepa Atamuradov, Fatih Camci · Annual Conference of the PHM Society · 3
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A Dynamic Heuristic Optimization for Condition-based Maintenance Planning
2020 · Ajit Rai, Vepa Atamuradov, et al. · 2
New Adaptive Prognostics Approach Based on Hybrid Feature Selection with Application to Point Machine Monitoring
2018 · Vepa Atamuradov, Kamal Medjaher, et al. · Annual Conference of the PHM Society · 2
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Health-State Assessment Approach Based on Unsupervised Feature Selection with Application to Nuclear Power Plant Water Screens
2022 · Antoine Deleplace, Vepa Atamuradov, et al. · Lecture notes in control and information sciences - proceedings · 1
Performance evaluation for face recognition using wavelet-based image de-noising
2013 · Vepa Atamuradov, Alaa Eleyan, et al. · International Conference on Technological Advances in Electrical, Electronics and Computer Engineering · 1
Comparative Analysis of Unsupervised Machine Learning Techniques for SCSSV Health Monitoring
2026 · Vepa Atamuradov, Jean-Baptiste Cozon, et al. · Technical Papers ... Rio Oil & Gas
Works count: 19
Citation count: 622
H-index: 11
I10-index: 11
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