Reza Golafshan
Reza Golafshan
Sumitomo (SHI) Cyclo Drive Germany GmbH
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
SVD and Hankel matrix based de-noising approach for ball bearing fault detection and its assessment using artificial faults
R Golafshan, KY Sanliturk
Mechanical Systems and Signal Processing 7071, 36-50, 2016
Wind turbine drivetrains: state-of-the-art technologies and future development trends
AR Nejad, J Keller, Y Guo, S Sheng, H Polinder, S Watson, J Dong, Z Qin, ...
Wind Energy Science 7 (1), 387-411, 2022
Investigation on the Effects of Structural Dynamics on Rolling Bearing Fault Diagnosis by Means of Multi-body Simulation
R Golafshan, G Jacobs, M Wegerhoff, P Drichel, J Berroth
International Journal of Rotating Machinery 2018 (Article ID 5159189), 18 pages, 2018
Damage Diagnosis of Cardan Shafts in Mobile Mining Machines using Vibration Analysis
R Golafshan, C Dascaliuc, G Jacobs, D Roth, J Berroth, S Neumann
IOP Conference Series: Materials Science and Engineering 1097 (2021), 012019, 2021
Characterization of elastohydrodynamic contact film thickness under high frequency force excitation using a 2D unwrapping-based image processing technique
R Golafshan, B Su, G Jacobs, J Berroth
Tribology International, 107841, 2022
Vibration-based Condition Monitoring for Wind Turbines: Applications of Singular Value Decomposition
R Golafshan, M Wegerhoff, G Jacobs, AI Ozay
Antriebstechnischen Kolloquium (ATK 2017), 45 - 56, 2017
Rolling Bearing Fault Diagnosis Using Recursive Autocorrelation and Autoregressive Analyses
R Golafshan, KY Sanliturk
The 23rd International Congress on Sound and Vibration, 2016
The Effect of SVD Based Noise Elimination Methods Applied For Ball Bearing Fault Detection
R Golafshan, KY Sanliturk
TrC-IFToMM Symposium on Theory of Machines and Mechanisms, 2015
Investigation of Rolling Bearing Condition Monitoring Techniques Based on Long Term Run-to-Failure Vibration Data
R Golafshan, G Jacobs, J Berroth
Bearing World Journal 3, 107-118, 2018
Fault Diagnosis for Rolling Bearings in Non-Stationary Operating Conditions Caused by Torsional Vibrations
R Golafshan, G Jacobs, M Wegerhoff, W Gaad
Drive Systems 2017; 7th VDE/VDI Symposium, 7-12, 2017
A New Approach for Vibration-based Rolling Bearings Fault Detection in Non-Stationary Operating Conditions
R Golafshan, M Wegerhoff, G Jacobs, KY Sanliturk
VDI-Fachtagung Schwingungen 2017, 347-361, 2017
Development of an Oil Monitoring and Filtration System for Industrial Gearboxes
R Golafshan, D Verbeek, S Markert
OilDoc Conference, 2023
A Benchmark Study for MEMS-Sensors-Based Fault Diagnosis for Rolling Bearings
R Golafshan, G Jacobs, F Andary, J Berroth
Antriebstechnisches Kolloquium 2019: Tagungsband zur Konferenz, 15, 2019
Noise elimination for vibration-based rolling bearing fault diagnosis
H Merdane, R Golafshan, KY Sanliturk
Bearing World 1, 5-16, 2016
Vibration-Based Fault Detection For Ball Bearings
R Golafshan
Istanbul Technical University, Department of Mechanical Engineering, 2015
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