Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

A Peak Energy Criterion (P. E.) for the Selection of Resonance Bands in Complex Shifted Morlet Wavelet (Csmw) Based Demodulation of Defective Rolling Element Bearings Vibration Response.

K. Gryllias, and I. Antoniadis. Int. J. Wavelets Multiresolution Inf. Process., 7 (4): 387-410 (2009)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Konstantinos Spyridakis

Konstantinos Georgaras

Konstantinos Karatzoglou

Konstantinos Ouzounis

Konstantinos Noussias

Other publications of authors with the same name

A Peak Energy Criterion (P. E.) for the Selection of Resonance Bands in Complex Shifted Morlet Wavelet (Csmw) Based Demodulation of Defective Rolling Element Bearings Vibration Response.K. Gryllias, and I. Antoniadis. Int. J. Wavelets Multiresolution Inf. Process., 7 (4): 387-410 (2009)Intelligent Fault Diagnosis for Rotary Machinery Using Transferable Convolutional Neural Network.Z. Chen, K. Gryllias, and W. Li. IEEE Trans. Ind. Informatics, 16 (1): 339-349 (2020)Rolling element bearing fault detection in industrial environments based on a K-means clustering approach.C. Yiakopoulos, K. Gryllias, and I. Antoniadis. Expert Syst. Appl., 38 (3): 2888-2911 (2011)A general anomaly detection framework for fleet-based condition monitoring of machines.K. Hendrickx, W. Meert, Y. Mollet, J. Gyselinck, B. Cornelis, K. Gryllias, and J. Davis. CoRR, (2019)Deep continual transfer learning with dynamic weight aggregation for fault diagnosis of industrial streaming data under varying working conditions.J. Li, R. Huang, Z. Chen, G. He, K. Gryllias, and W. Li. Adv. Eng. Informatics, (January 2023)A Support Vector Machine approach based on physical model training for rolling element bearing fault detection in industrial environments.K. Gryllias, and I. Antoniadis. Eng. Appl. Artif. Intell., 25 (2): 326-344 (2012)Gearbox Fault Diagnosis Using Convolutional Neural Networks And Support Vector Machines.Z. Chen, C. Liu, K. Gryllias, and W. Li. EUSIPCO, page 1-5. IEEE, (2019)Advanced cyclostationary-based analysis for condition monitoring of complex systems.K. Gryllias, A. Mauricio, and J. Qi. EUSIPCO, page 385-389. IEEE, (2018)Domain Adversarial Transfer Network for Cross-Domain Fault Diagnosis of Rotary Machinery.Z. Chen, G. He, J. Li, Y. Liao, K. Gryllias, and W. Li. IEEE Trans. Instrum. Meas., 69 (11): 8702-8712 (2020)A Few-Shot Machinery Fault Diagnosis Framework Based on Self-Supervised Signal Representation Learning.H. Wang, X. Wang, Y. Yang, K. Gryllias, and Z. Liu. IEEE Trans. Instrum. Meas., (2024)

BibSonomy

Disambiguation of "Gryllias, Konstantinos C."