Konstantinos C. Gryllias
Konstantinos C. Gryllias
Associate Professor, Department of Mechanical Engineering, KULeuven, Belgium
Verified email at kuleuven.be
Title
Cited by
Cited by
Year
Rolling element bearing fault detection in industrial environments based on a K-means clustering approach
CT Yiakopoulos, KC Gryllias, IA Antoniadis
Expert Systems with Applications 38 (3), 2888-2911, 2011
2132011
A Support Vector Machine approach based on physical model training for rolling element bearing fault detection in industrial environments
KC Gryllias, IA Antoniadis
Engineering Applications of Artificial Intelligence 25 (2), 326-344, 2012
1982012
Mechanical fault diagnosis using Convolutional Neural Networks and Extreme Learning Machine
Z Chen, K Gryllias, W Li
Mechanical Systems and Signal Processing 133, 2019
1382019
A deep learning method for bearing fault diagnosis based on cyclic spectral coherence and convolutional neural networks
Z Chen, A Mauricio, W Li, K Gryllias
Mechanical Systems and Signal Processing 140, 106683, 2020
1072020
Intelligent fault diagnosis for rotary machinery using transferable convolutional neural network
Z Chen, K Gryllias, W Li
IEEE Transactions on Industrial Informatics 16 (1), 339-349, 2019
892019
KDamping: A stiffness based vibration absorption concept
IA Antoniadis, SA Kanarachos, K Gryllias, IE Sapountzakis
Journal of Vibration and Control 24 (3), 588-606, 2018
612018
Estimation of the instantaneous rotation speed using complex shifted Morlet wavelets
KC Gryllias, IA Antoniadis
Mechanical Systems and Signal Processing 38 (1), 78-95, 2013
542013
A semi-supervised support vector data description-based fault detection method for rolling element bearings based on cyclic spectral analysis
C Liu, K Gryllias
Mechanical Systems and Signal Processing 140, 106682, 2020
392020
Domain adversarial transfer network for cross-domain fault diagnosis of rotary machinery
Z Chen, G He, J Li, Y Liao, K Gryllias, W Li
IEEE Transactions on Instrumentation and Measurement 69 (11), 8702-8712, 2020
372020
A peak energy criterion (pe) for the selection of resonance bands in complex shifted morlet wavelet (csmw) based demodulation of defective rolling element bearings vibration …
KC Gryllias, I Antoniadis
International Journal of Wavelets, Multiresolution and Information …, 2009
342009
A discrepancy analysis methodology for rolling element bearing diagnostics under variable speed conditions
S Schmidt, PS Heyns, KC Gryllias
Mechanical Systems and Signal Processing 116, 40-61, 2019
302019
Improved Envelope Spectrum via Feature Optimisation-gram (IESFOgram): A novel tool for rolling element bearing diagnostics under non-stationary operating conditions
A Mauricio, WA Smith, RB Randall, J Antoni, K Gryllias
Mechanical Systems and Signal Processing 144, 106891, 2020
242020
Vibration based condition monitoring of wind turbine gearboxes based on cyclostationary analysis
A Mauricio, J Qi, K Gryllias
ASME 2018 Turbo Expo - Turbomachinery Technical Conference & Exposition …, 2018
24*2018
Bearing diagnostics under strong electromagnetic interference based on Integrated Spectral Coherence
A Mauricio, J Qi, WA Smith, M Sarazin, RB Randall, K Janssens, ...
Mechanical Systems and Signal Processing 140, 106673, 2020
222020
Cyclostationary modeling for local fault diagnosis of planetary gear vibration signals
RB Sun, ZB Yang, K Gryllias, XF Chen
Journal of Sound and Vibration 471, 115175, 2020
222020
A general anomaly detection framework for fleet-based condition monitoring of machines
K Hendrickx, W Meert, Y Mollet, J Gyselinck, B Cornelis, K Gryllias, ...
Mechanical Systems and Signal Processing 139, 106585, 2020
202020
Local damage diagnosis in gearboxes using novel wavelet technology
K Gryllias, L Gelman, B Shaw, M Vaidhianathasamy
Insight: non-Destructive Testing and Condition Monitoring 52 (8), 437-441, 2010
182010
A methodology for identifying information rich frequency bands for diagnostics of mechanical components-of-interest under time-varying operating conditions
S Schmidt, A Mauricio, PS Heyns, KC Gryllias
Mechanical Systems and Signal Processing 142, 106739, 2020
172020
Nonlinear secondary noise sources for passive defect detection using ultrasound sensors
L Chehami, E Moulin, J de Rosny, C Prada, E Chatelet, G Lacerra, ...
Journal of sound and Vibration 386, 283-294, 2017
172017
Application of cyclo-non-stationary indicators for bearing monitoring under varying operating conditions
K Gryllias, S Moschini, J Antoni
ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition …, 2017
162017
The system can't perform the operation now. Try again later.
Articles 1–20