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Nima Rezazadeh
Nima Rezazadeh
Department of Engineering, University of Campania L. Vanvitelli
Zweryfikowany adres z unicampania.it - Strona główna
Tytuł
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Unbalanced, cracked, and misaligned rotating machines: A comparison between classification procedures throughout the steady-state operation
N Rezazadeh, A De Luca, D Perfetto
Journal of the Brazilian Society of Mechanical Sciences and Engineering 44 …, 2022
252022
Composite panel damage classification based on guided waves and machine learning: an experimental approach
D Perfetto, N Rezazadeh, A Aversano, A De Luca, G Lamanna
Applied Sciences 13 (18), 10017, 2023
232023
Diagnosing and Balancing Approaches of Bowed Rotating Systems: A Review
N Rezazadeh, A De Luca, G Lamanna, F Caputo
Applied Sciences 12 (18), 9157, 2022
182022
Crack classification in rotor-bearing system by means of wavelet transform and deep learning methods: an experimental investigation
R Nima, F Shila
Journal of Mechanical Engineering, Automation and Control Systems 1 (2), 102-113, 2020
182020
Classification of unbalanced and bowed rotors under uncertainty using wavelet time scattering, LSTM, and SVM
N Rezazadeh, M de Oliveira, D Perfetto, A De Luca, F Caputo
Applied Sciences 13 (12), 6861, 2023
162023
Identification of shallow cracks in rotating systems by utilizing convolutional neural networks and persistence spectrum under constant speed condition
N Rezazadeh, MR Ashory, S Fallahy
Journal of Mechanical Engineering, Automation and Control Systems 2 (2), 135-147, 2021
92021
Guided wave-driven machine learning for damage classification with limited dataset in aluminum panel
N Rezazadeh, D Perfetto, A Polverino, A De Luca, G Lamanna
Structural Health Monitoring, 14759217241268394, 2024
82024
FE modelling techniques for the simulation of guided waves in plates with variable thickness
D Perfetto, C Pezzella, V Fierro, N Rezazadeh, A Polverino, G Lamanna
Procedia Structural Integrity 52, 418-423, 2024
52024
Classification of a cracked-rotor system during start-up using Deep learning based on convolutional neural networks
N Rezazadeh, MR Ashory, S Fallahy
Maintenance, Reliability and Condition Monitoring 1 (2), 26-36, 2021
52021
Investigation on the Time-Frequency Effects of A Crack in A Rotating System
N Rezazadeh
International journal of engineering research and technology 9 (06), 1665-1672, 2020
52020
A fine-tuning deep learning framework to palliate data distribution shift effects in rotary machine fault detection
N Rezazadeh, D Perfetto, M de Oliveira, A De Luca, G Lamanna
Structural Health Monitoring, 14759217241295951, 2024
42024
Dimensionality Reduction in Structural Health Monitoring: A Case Study on Damaged Wind Turbine Blades
N Rezazadeh, A Polverino, D Perfetto, A De Luca
Macromolecular Symposia 413 (3), 2400044, 2024
42024
Application of Supervised and Unsupervised Machine Learning to the Classification of Damaged Rotor‐Bearing Systems
N Rezazadeh, A Felaco, S Fallahy, G Lamanna
Macromolecular Symposia 411 (1), 2200219, 2023
32023
Ensemble Learning for Estimating Remaining Useful Life: Incorporating Linear, KNN, and Gaussian Process Regression
N Rezazadeh, D Perfetto, A De Luca, F Caputo
International Workshop on Autonomous Remanufacturing, 201-212, 2023
22023
Numerical Study of Ultrasonic Guided Wave in Composite Reinforced Panels with Different Stiffener Shapes
A Antonio, N Rezazadeh, A Polverino, S Beneduce
Macromolecular Symposia 411 (1), 2300018, 2023
22023
Numerical analysis on the propagation of ultrasonic guided wave in damaged carbon fiber reinforced polymer laminate
A Polverino, A Aversano, N Rezazadeh, S Beneduce
Macromolecular Symposia 411 (1), 2300017, 2023
22023
A transfer learning approach for mitigating temperature effects on wind turbine blades damage diagnosis
N Rezazadeh, F Annaz, WA Jabbar, J Vieira Filho, M De Oliveira
Structural Health Monitoring, 14759217241313350, 2025
2025
Guided Waves Propagation in Additively Manufactured GF30‐PA6 Panel
A De Luca, A Greco, N Rezazadeh, D Perfetto, A Aversano
Macromolecular Symposia 413 (3), 2400042, 2024
2024
بررسی اثر ترک در پاسخ حالت پایدار و حالت گذرای سیستم روتور- یاتاقان
نیما رضازاده، محمدرضا آشوری
(JR_MSTJ-81-81_001) فصلنامه علوم و فناوری دریا 21 (81), 1-17, 2017
2017
انتخاب تابع ویولت وتوابع ویولت پرکاربرد درعیب یابی
نیما رضازاده، محمدرضا آشوری
(DCEAEM01_575) اولین کنفرانس سراسری توسعه محوری مهندسی عمران، معماری،برق و …, 2014
2014
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