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)

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)

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)

Advanced cyclostationary-based analysis for condition monitoring of complex systems. - Konstantinos C. Gryllias; Alexandre Mauricio; Junyu Qi (EUSIPCO, 2018)

Gearbox Fault Diagnosis Using Convolutional Neural Networks And Support Vector Machines. - Zhuyun Chen 001; Chenyu Liu; Konstantinos C. Gryllias; Weihua Li 004 (EUSIPCO, 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)

Intelligent Fault Diagnosis for Rotary Machinery Using Transferable Convolutional Neural Network. - Zhuyun Chen 001; Konstantinos C. Gryllias; Weihua Li 004 (IEEE Trans. Ind. Informatics, 2020)

Domain Adversarial Transfer Network for Cross-Domain Fault Diagnosis of Rotary Machinery. - Zhuyun Chen 001; Guolin He; Jipu Li; Yixiao Liao; Konstantinos C. Gryllias; Weihua Li 004 (IEEE Trans. Instrum. Meas., 2020)

Cyclostationary Analysis of Irregular Statistical Cyclicity and Extraction of Rotating Speed for Bearing Diagnostics With Speed Fluctuations. - Ruobin Sun; Fei-Ping Du; Zhibo Yang 001; Xuefeng Chen 002; Konstantinos C. Gryllias (IEEE Trans. Instrum. Meas., 2021)

Automatic multi-differential deep learning and its application to machine remaining useful life prediction. - Sheng Xiang; Yi Qin 004; Fuqiang Liu; Konstantinos C. Gryllias (Reliab. Eng. Syst. Saf., 2022)

Simulation-Driven Domain Adaptation for Rolling Element Bearing Fault Diagnosis. - Chenyu Liu; Konstantinos C. Gryllias (IEEE Trans. Ind. Informatics, 2022)

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 001; Guolin He; Konstantinos C. Gryllias; Weihua Li 004 (Adv. Eng. Informatics, 2023)

Order Tracking on Cyclic Kurtosis for Damage Detection of Bearing Faults. - Alexandre Mauricio; Zhen Li; Mahsa Yazdanianasr; Konstantinos C. Gryllias (EUSIPCO, 2024)

Brain-Inspired Spiking Neural Networks for Industrial Fault Diagnosis: A Survey, Challenges, and Opportunities. - Huan Wang 015; Yan-Fu Li; Konstantinos C. Gryllias (CoRR, 2024)

Generalised envelope spectrum-based signal-to-noise objectives: Formulation, optimisation and application for gear fault detection under time-varying speed conditions. - Stephan Schmidt 005; Daniel N. Wilke; Konstantinos C. Gryllias (CoRR, 2024)

A Few-Shot Machinery Fault Diagnosis Framework Based on Self-Supervised Signal Representation Learning. - Huan Wang 015; Xindan Wang; Yizhuo Yang 001; Konstantinos C. Gryllias; Zhiliang Liu (IEEE Trans. Instrum. Meas., 2024)

Improving Rotational Stability of Radial Permanent Magnetic Bearings for Compact Rotors via Axial Offset and Optimal Sizing. - Mante Baekeland; Konstantinos C. Gryllias; Dirk Vandepitte (IEEE Access, 2025)

Synergistic Progressive Adversarial Network for Domain Adaptation in Rotating Machinery. - Xue Ding; Aidong Deng; Minqiang Deng; Yaowei Shi; Konstantinos C. Gryllias (IEEE Trans. Instrum. Meas., 2025)