Konstantinos C. Gryllias

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 11

Top Topics

Convolutional Neural Network

Condition Monitoring

Power Transformers

Electronic Equipment

Top Venues

IEEE Trans. Instrum. Meas.

IEEE Trans. Ind. Informatics

Publications

Huan Wang, Xindan Wang, Yizhuo Yang, Konstantinos C. Gryllias, Zhiliang Liu
A Few-Shot Machinery Fault Diagnosis Framework Based on Self-Supervised Signal Representation Learning. IEEE Trans. Instrum. Meas. 73 (2024)
Stephan Schmidt, Daniel N. Wilke, Konstantinos C. Gryllias
Generalised envelope spectrum-based signal-to-noise objectives: Formulation, optimisation and application for gear fault detection under time-varying speed conditions. CoRR (2024)
Jipu Li, Ruyi Huang, Zhuyun Chen, Guolin He, Konstantinos C. Gryllias, Weihua Li
Deep continual transfer learning with dynamic weight aggregation for fault diagnosis of industrial streaming data under varying working conditions. Adv. Eng. Informatics 55 (2023)
Chenyu Liu, Konstantinos C. Gryllias
Simulation-Driven Domain Adaptation for Rolling Element Bearing Fault Diagnosis. IEEE Trans. Ind. Informatics 18 (9) (2022)
Sheng Xiang, Yi Qin, Fuqiang Liu, Konstantinos C. Gryllias
Automatic multi-differential deep learning and its application to machine remaining useful life prediction. Reliab. Eng. Syst. Saf. 223 (2022)
Ruobin Sun, Fei-Ping Du, Zhibo Yang, Xuefeng Chen, Konstantinos C. Gryllias
Cyclostationary Analysis of Irregular Statistical Cyclicity and Extraction of Rotating Speed for Bearing Diagnostics With Speed Fluctuations. IEEE Trans. Instrum. Meas. 70 (2021)
Zhuyun Chen, Guolin He, Jipu Li, Yixiao Liao, Konstantinos C. Gryllias, Weihua Li
Domain Adversarial Transfer Network for Cross-Domain Fault Diagnosis of Rotary Machinery. IEEE Trans. Instrum. Meas. 69 (11) (2020)
Zhuyun Chen, Konstantinos C. Gryllias, Weihua Li
Intelligent Fault Diagnosis for Rotary Machinery Using Transferable Convolutional Neural Network. IEEE Trans. Ind. Informatics 16 (1) (2020)
Zhuyun Chen, Chenyu Liu, Konstantinos C. Gryllias, Weihua Li
Gearbox Fault Diagnosis Using Convolutional Neural Networks And Support Vector Machines. EUSIPCO (2019)
Kilian Hendrickx, Wannes Meert, Yves Mollet, Johan Gyselinck, Bram Cornelis, Konstantinos C. Gryllias, Jesse Davis
A general anomaly detection framework for fleet-based condition monitoring of machines. CoRR (2019)
Konstantinos C. Gryllias, Alexandre Mauricio, Junyu Qi
Advanced cyclostationary-based analysis for condition monitoring of complex systems. EUSIPCO (2018)
Konstantinos C. Gryllias, Ioannis A. Antoniadis
A Support Vector Machine approach based on physical model training for rolling element bearing fault detection in industrial environments. Eng. Appl. Artif. Intell. 25 (2) (2012)
C. T. Yiakopoulos, Konstantinos C. Gryllias, Ioannis A. Antoniadis
Rolling element bearing fault detection in industrial environments based on a K-means clustering approach. Expert Syst. Appl. 38 (3) (2011)
Konstantinos C. Gryllias, Ioannis A. Antoniadis
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. Int. J. Wavelets Multiresolution Inf. Process. 7 (4) (2009)