Konstantinos C. Gryllias

Konstantinos C. Gryllias

Katholieke Universiteit Leuven

H-index: 25

Europe-Belgium

About Konstantinos C. Gryllias

Konstantinos C. Gryllias, With an exceptional h-index of 25 and a recent h-index of 24 (since 2020), a distinguished researcher at Katholieke Universiteit Leuven, specializes in the field of Vibrations, Acoustics, Diagnostics, Prognostics, Digital Twins.

His recent articles reflect a diverse array of research interests and contributions to the field:

Optical fibre sensors for fault detection in bearings

Machine Learning approaches to damage detection in composite structures combining experimental and simulation domains

A dual-weighted adversarial network for partial domain fault diagnosis of machinery

AI-enabled industrial equipment monitoring, diagnosis and health management

Comparison of nonlinear solution methods for magnetic equivalent circuits of saturated induction motors

Damage features for structural health monitoring based on ultrasonic Lamb waves: Evaluation criteria, survey of recent work and outlook

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

Context aware anomaly detection for condition monitoring of rolling element bearings

Konstantinos C. Gryllias Information

University

Position

Associate Professor Department of Mechanical Engineering Belgium

Citations(all)

3340

Citations(since 2020)

2912

Cited By

1016

hIndex(all)

25

hIndex(since 2020)

24

i10Index(all)

46

i10Index(since 2020)

44

Email

University Profile Page

Katholieke Universiteit Leuven

Google Scholar

View Google Scholar Profile

Konstantinos C. Gryllias Skills & Research Interests

Vibrations

Acoustics

Diagnostics

Prognostics

Digital Twins

Top articles of Konstantinos C. Gryllias

Title

Journal

Author(s)

Publication Date

Optical fibre sensors for fault detection in bearings

Damilare Samuel Ojo

Sidney Frans Goossens

Panagiotis Mantas

Alexandre Mauricio

Konstantinos Gryllias

...

2024/3/26

Machine Learning approaches to damage detection in composite structures combining experimental and simulation domains

Mechanical Systems and Signal Processing

André Tavares

Emilio Di Lorenzo

Bram Cornelis

Bart Peeters

Wim Desmet

...

2024/6/1

A dual-weighted adversarial network for partial domain fault diagnosis of machinery

Measurement Science and Technology

Xue Ding

Aidong Deng

Minqiang Deng

Yaowei Shi

Konstantinos Gryllias

2024/3/20

AI-enabled industrial equipment monitoring, diagnosis and health management

Measurement Science and Technology

Zhuyun Chen

Haidong Shao

Te Han

Konstantinos Gryllias

2024/5/1

Comparison of nonlinear solution methods for magnetic equivalent circuits of saturated induction motors

International Journal of Applied Electromagnetics and Mechanics

Philip Desenfans

Zifeng Gong

Dries Vanoost

Konstantinos Gryllias

Jeroen Boydens

...

2024/2/26

Damage features for structural health monitoring based on ultrasonic Lamb waves: Evaluation criteria, survey of recent work and outlook

Houyu Lu

Balaji Chandran

Wen Wu

Jelena Ninic

Konstantinos Gryllias

...

2024/4/16

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

IEEE Transactions on Instrumentation and Measurement

Huan Wang

Xindan Wang

Yizhuo Yang

Konstantinos Gryllias

Zhiliang Liu

2024/1/11

Context aware anomaly detection for condition monitoring of rolling element bearings

Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023)

Rik Vaerenberg

Konstantinos Gryllias

2024/4/7

Anomaly detection and multi-step estimation based remaining useful life prediction for rolling element bearings

Mechanical Systems and Signal Processing

Junyu Qi

Rui Zhu

Chenyu Liu

Alexandre Mauricio

Konstantinos Gryllias

2024/1/1

Deep learning uncertainty quantification for ultrasonic damage identification in composite structures

Composite Structures

Houyu Lu

Sergio Cantero Chinchilla

Xin Yang

Konstantinos Gryllias

Dimitrios Chronopoulos

2024/4/4

Condition Monitoring of Wind Turbine Drivetrain Bearings

Journal of Engineering for Gas Turbines and Power

Konstantinos Gryllias

Junyu Qi

Alexandre Mauricio

Chenyu Liu

2024/7/1

Rotating machinery speed extraction through smartphone video acquisition from a radial viewpoint

Mechanical Systems and Signal Processing

Toby Verwimp

Alexandre Mauricio

Konstantinos Gryllias

2023/12/15

Anomaly detection on the cutter bar of a combine harvester using cyclostationary analysis

Biosystems Engineering

Jorre Goossens

Bart Lenaerts

Steven Devos

Konstantinos Gryllias

Bart De Ketelaere

...

2023/2/1

Automatic header condition monitoring on combine harvesters

Jorre Goossens

Wouter Saeys

Konstantinos Gryllias

Steven Devos

2023/5/8

Optimal filter design for rotating machinery fault detection under time-varying speed conditions

Stephan Schmidt

Daniël N Wilke

P Stephan Heyns

Konstantinos C Gryllias

2023/7/10

Performance study of DTW-based spike measurement anomaly detection in sensors on real world tests.

Bram Cornelis

Federico Deuschle

Konstantinos Gryllias

2023/7/10

Context-aware machine learning for estimating the remaining useful life of bearings under varying speed operating conditions

Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM

Seyed Ali Hosseinli

Ted Ooijevaar

Konstantinos Gryllias

2023/10/26

Compact low-noise magnetic bearing reaction wheels for CubeSats: a model-based performance analysis

Mante Baekeland

Jelle Lanting

Cedric Cuypers

Tjorven Delabie

Konstantinos Gryllias

...

2023/12/11

Uncertainty quantification of damage localization based on a probabilistic convolutional neural network

Journal of Physics: Conference Series

Houyu Lu

Ali Mardanshahi

Sergio Cantero-Chinchilla

Konstantinos Gryllias

Dimitrios Chronopoulos

2023/1/17

RMA-CNN: A residual mixed-domain attention CNN for bearings fault diagnosis and its time-frequency domain interpretability

Journal of Dynamics, Monitoring and Diagnostics

Dandan Peng

Huan Wang

Wim Desmet

Konstantinos Gryllias

2023/4/21

See List of Professors in Konstantinos C. Gryllias University(Katholieke Universiteit Leuven)

Co-Authors

H-index: 29
Francesco Massi

Francesco Massi

Sapienza Università di Roma

H-index: 27
Bert Pluymers

Bert Pluymers

Katholieke Universiteit Leuven

H-index: 26
Moorthy Vaidhianathasamy

Moorthy Vaidhianathasamy

Newcastle University

H-index: 26
Brian Shaw

Brian Shaw

Newcastle University

H-index: 9
Christos Yiakopoulos

Christos Yiakopoulos

National Technical University

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