Folgen
Konstantinos C. Gryllias
Konstantinos C. Gryllias
Associate Professor, Department of Mechanical Engineering, KULeuven, Belgium
Bestätigte E-Mail-Adresse bei kuleuven.be
Titel
Zitiert von
Zitiert von
Jahr
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
2412011
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
2162012
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
2122020
Mechanical fault diagnosis using Convolutional Neural Networks and Extreme Learning Machine
Z Chen, K Gryllias, W Li
Mechanical Systems and Signal Processing 133, 2019
2012019
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
1622019
A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges
W Li, R Huang, J Li, Y Liao, Z Chen, G He, R Yan, K Gryllias
Mechanical Systems and Signal Processing 167, 108487, 2022
1172022
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
1082020
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
962018
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
672020
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
582013
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
492020
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
41*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
382020
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
382019
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
362020
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
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
332020
Cyclostationary-based Multiband Envelope Spectra Extraction for bearing diagnostics: The Combined Improved Envelope Spectrum
A Mauricio, K Gryllias
Mechanical Systems and Signal Processing 149, 2021
292021
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
262020
Application of Cyclo- Nonstationary Indicators for Bearing Monitoring Under Varying Operating Conditions
K Gryllias, S Moschini, J Antoni
Journal of Engineering for Gas Turbines and Power 140, 2018
232018
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20