Muhammet ÜNAL
Muhammet ÜNAL
Marmara Üniversitesi
Verified email at fiu.edu
Title
Cited by
Cited by
Year
Fault diagnosis of rolling bearings using a genetic algorithm optimized neural network
M Unal, M Onat, M Demetgul, H Kucuk
Measurement 58, 187-196, 2014
1122014
Optimization of PID Controllers Using Ant Colony and Genetic Algorithms
M Ünal, A Ak, V Topuz, H Erdal
68*2013
Fault diagnosis on bottle filling plant using genetic-based neural network
M Demetgul, M Unal, IN Tansel, O Yazıcıoğlu
Advances in Engineering Software 42 (12), 1051-1058, 2011
292011
Contact and non-contact approaches in load monitoring applications using surface response to excitation method
S Tashakori, A Baghalian, M Unal, H Fekrmandi, D McDaniel, IN Tansel
Measurement 89, 197-203, 2016
25*2016
Trajectory tracking performance comparison between genetic algorithm and ant colony optimization for PID controller tuning on pressure process
M Ünal, H Erdal, V Topuz
Computer Applications in Engineering Education 20 (3), 518-528, 2012
242012
A novel approach for classification of loads on plate structures using artificial neural networks
H Fekrmandi, M Unal, SR Neva, IN Tansel, D McDaniel
Measurement 82, 37-45, 2016
202016
A non-contact method for part-based process performance monitoring in end milling operations
H Fekrmandi, M Unal, A Baghalian, S Tashakori, K Oyola, A Alsenawi, ...
The International Journal of Advanced Manufacturing Technology 83 (1), 13-20, 2016
162016
Process monitoring using data-based fault detection techniques: Comparative studies
MZ Sheriff, C Botre, M Mansouri, H Nounou, M Nounou, MN Karim
Fault Diagnosis and Detection, 237-261, 2017
142017
Implementation of the surface response to excitation method for pipes
A Baghalian, S Tahakori, H Fekrmandi, M Unal, VY Senyurek, D McDaniel, ...
Mechanics of Composite and Multi-functional Materials, Volume 7, 261-266, 2017
132017
Use of artificial neural networks for modelling of seam strength and elongation at break
Z Yildiz, V Dal, M Ünal, K Yildiz
Fibres & Textiles in Eastern Europe, 2013
122013
Implementation of heterodyning effect for monitoring the health of adhesively bonded and fastened composite joints
S Tashakori, A Baghalian, VY Senyurek, M Unal, D McDaniel, IN Tansel
Applied Ocean Research 72, 51-59, 2018
112018
Fault diagnosis of rolling bearings using data mining techniques and boosting
M Unal, Y Sahin, M Onat, M Demetgul, H Kucuk
Journal of Dynamic Systems, Measurement, and Control 139 (2), 2017
102017
An assessment on the non-invasive methods for condition monitoring of induction motors
M Irfan, RI Nordin Saad, VS Asirvadam, A Alwadie, M Aman
Fault Diagnosis and Detection, 87, 2017
82017
Load monitoring using surface response to excitation method
S Tashakori, A Baghalian, M Unal, VY Senyurek, H Fekrmandi, ...
Mechanics of Composite and Multi-functional Materials, Volume 7, 209-214, 2017
82017
Dynamics-based vibration signal modeling for tooth fault diagnosis of planetary gearboxes
X Liang, MJ Zuo, W Chen
Fault Diagnosis and Detection, 175, 2017
62017
Novel approaches for loose bolt detection with and without sensors using heterodyning effect
A BAGHALIAN, S TASHAKORI, VY SENYUREK, M UNAL, IN TANSEL
Structural Health Monitoring 2017, 2017
62017
Fault Diagnosis of Rolling Bearing Based on Feature Extraction and Neural Network Algorithm
M Unal, M Demetgul, M Onat, H Kucuk
Recent Advances in Telecommunications, Signals and Systems, 179-185, 2013
62013
Cellular neural network training by ant colony optimization algorithm
M Ünal, M Onat, A Bal
2010 IEEE 18th Signal Processing and Communications Applications Conference …, 2010
62010
PID Kontrolörün Karınca Kolonisi / Genetik Algoritma Tabanlı Optimizasyonu ve Gunt RT 532 Basınç Prosesinin Kontrolü
M Unal
Marmara Universitesi, Fen Bilimleri Enstitusu, 2008
62008
Development of comprehensive heterodyne effect based inspection (CHEBI) method for inclusive monitoring of cracks
A Baghalian, S Tashakori, VY Senyurek, M Unal, D McDaniel, IN Tansel
Measurement 128, 89-95, 2018
52018
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