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ORCIDKonstantinos C. Gryllias
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2020 – today
- 2024
[j10]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: 1-14 (2024)- [c3]Alexandre Mauricio, Zhen Li, Mahsa Yazdanianasr, Konstantinos C. Gryllias:
Order Tracking on Cyclic Kurtosis for Damage Detection of Bearing Faults. EUSIPCO 2024: 1102-1106 - [i3]Huan Wang, Yan-Fu Li, Konstantinos C. Gryllias:
Brain-Inspired Spiking Neural Networks for Industrial Fault Diagnosis: A Survey, Challenges, and Opportunities. CoRR abs/2401.02429 (2024) - [i2]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 abs/2405.00727 (2024) - 2023
- [j9]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: 101883 (2023) - 2022
- [j8]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: 108531 (2022) - [j7]Chenyu Liu, Konstantinos C. Gryllias:
Simulation-Driven Domain Adaptation for Rolling Element Bearing Fault Diagnosis. IEEE Trans. Ind. Informatics 18(9): 5760-5770 (2022) - 2021
- [j6]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: 1-11 (2021) - 2020
- [j5]Zhuyun Chen, Konstantinos C. Gryllias, Weihua Li:
Intelligent Fault Diagnosis for Rotary Machinery Using Transferable Convolutional Neural Network. IEEE Trans. Ind. Informatics 16(1): 339-349 (2020) - [j4]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): 8702-8712 (2020)
2010 – 2019
- 2019
- [c2]Zhuyun Chen, Chenyu Liu, Konstantinos C. Gryllias, Weihua Li:
Gearbox Fault Diagnosis Using Convolutional Neural Networks And Support Vector Machines. EUSIPCO 2019: 1-5 - [i1]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 abs/1912.12941 (2019) - 2018
- [c1]Konstantinos C. Gryllias, Alexandre Mauricio, Junyu Qi:
Advanced cyclostationary-based analysis for condition monitoring of complex systems. EUSIPCO 2018: 385-389 - 2012
- [j3]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): 326-344 (2012) - 2011
- [j2]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): 2888-2911 (2011)
2000 – 2009
- 2009
- [j1]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): 387-410 (2009)
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