Konstantinos C. Gryllias

According to our database, Konstantinos C. Gryllias authored at least 16 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Few-Shot Machinery Fault Diagnosis Framework Based on Self-Supervised Signal Representation Learning.

Huan Wang, Xindan Wang, Yizhuo Yang, Konstantinos C. Gryllias, Zhiliang Liu

IEEE Trans. Instrum. Meas., 2024

Generalised envelope spectrum-based signal-to-noise objectives: Formulation, optimisation and application for gear fault detection under time-varying speed conditions.

Stephan Schmidt, Daniel N. Wilke, Konstantinos C. Gryllias

CoRR, 2024

Brain-Inspired Spiking Neural Networks for Industrial Fault Diagnosis: A Survey, Challenges, and Opportunities.

Huan Wang, Yan-Fu Li, Konstantinos C. Gryllias

CoRR, 2024

Order Tracking on Cyclic Kurtosis for Damage Detection of Bearing Faults.

Alexandre Mauricio, Zhen Li, Mahsa Yazdanianasr, Konstantinos C. Gryllias

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Deep continual transfer learning with dynamic weight aggregation for fault diagnosis of industrial streaming data under varying working conditions.

Jipu Li, Ruyi Huang, Zhuyun Chen, Guolin He, Konstantinos C. Gryllias, Weihua Li

Adv. Eng. Informatics, January, 2023

2022

Simulation-Driven Domain Adaptation for Rolling Element Bearing Fault Diagnosis.

Chenyu Liu, Konstantinos C. Gryllias

IEEE Trans. Ind. Informatics, 2022

Automatic multi-differential deep learning and its application to machine remaining useful life prediction.

Sheng Xiang, Yi Qin, Fuqiang Liu, Konstantinos C. Gryllias

Reliab. Eng. Syst. Saf., 2022

2021

Cyclostationary Analysis of Irregular Statistical Cyclicity and Extraction of Rotating Speed for Bearing Diagnostics With Speed Fluctuations.

Ruobin Sun, Fei-Ping Du, Zhibo Yang, Xuefeng Chen, Konstantinos C. Gryllias

IEEE Trans. Instrum. Meas., 2021

2020

Domain Adversarial Transfer Network for Cross-Domain Fault Diagnosis of Rotary Machinery.

Zhuyun Chen, Guolin He, Jipu Li, Yixiao Liao, Konstantinos C. Gryllias, Weihua Li

IEEE Trans. Instrum. Meas., 2020

Intelligent Fault Diagnosis for Rotary Machinery Using Transferable Convolutional Neural Network.

Zhuyun Chen, Konstantinos C. Gryllias, Weihua Li

IEEE Trans. Ind. Informatics, 2020

2019

A general anomaly detection framework for fleet-based condition monitoring of machines.

Kilian Hendrickx, Wannes Meert, Yves Mollet, Johan Gyselinck, Bram Cornelis, Konstantinos C. Gryllias, Jesse Davis

CoRR, 2019

Gearbox Fault Diagnosis Using Convolutional Neural Networks And Support Vector Machines.

Zhuyun Chen, Chenyu Liu, Konstantinos C. Gryllias, Weihua Li

Proceedings of the 27th European Signal Processing Conference, 2019

2018

Advanced cyclostationary-based analysis for condition monitoring of complex systems.

Konstantinos C. Gryllias, Alexandre Mauricio, Junyu Qi

Proceedings of the 26th European Signal Processing Conference, 2018

2012

A Support Vector Machine approach based on physical model training for rolling element bearing fault detection in industrial environments.

Konstantinos C. Gryllias, Ioannis A. Antoniadis

Eng. Appl. Artif. Intell., 2012

2011

Rolling element bearing fault detection in industrial environments based on a K-means clustering approach.

C. T. Yiakopoulos, Konstantinos C. Gryllias, Ioannis A. Antoniadis

Expert Syst. Appl., 2011

2009

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.

Konstantinos C. Gryllias, Ioannis A. Antoniadis

Int. J. Wavelets Multiresolution Inf. Process., 2009