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Co-authors

Nima RezazadehDepartment of Engineering, University of Campania L. VanvitelliVerified email at unicampania.it
M.R. AshoryAssociate Professor of Mechanical Engineering, School of Mechanical Engineering, Semnan University, Semnan, IranVerified email at semnan.ac.ir

shila fallahy

shila fallahy

Master of Science

Verified email at mail.polimi.it - Homepage

Building and Architectural Engineering


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	18	2020
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	9	2021
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	5	2021
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	3	2023

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