Editorial Team
Editors-in-Chief
Prof. Dr. Fulei Chu Website ORCID
Tsinghua University, China Email: chufl@mail.tsinghua.edu.cn
Interests: condition monitoring; fault dynamic modeling; fault diagnostics; signal processing; feature extraction; remaining useful life prediction
Prof. Dr. Andrew Ball Website ORCID
University of Huddersfield, UK Email: A.Ball@hud.ac.uk
Interests: condition monitoring; fault detection; fault diagnosis; signal processing; sensor systems; dynamic modelling
Associate Editors (4)
Dr. Wade Smith Website ORCID
University of New South Wales, Australia
Interests: machine condition monitoring; machine diagnostics and prognostics; gear wear; transmission error analysis; variable speed diagnostics; instantaneous angular speed estimation; planetary gearbox diagnostics; sliding wear; dynamic simulations; digital twins
Prof. Dr. Hui Ma Website
Northeastern University, China
Interests: dynamics of rotating machinery; mechanical system fault diagnosis
Prof. Dr. Konstantinos Gryllias Website ORCID
KU Leuven, Belgium
Interests: vibrations; acoustics; diagnostics; prognostics; digital twins
Dr. Dong Wang Website ORCID
Shanghai Jiaotong University, China
Interests: condition monitoring; fault diagnosis; signal processing; statistical modeling; machine learning; statistical learning; non-destructive testing; feature extraction; prognostics and health management
Editorial Board Members (21)
Prof. Dr. Jerome Antoni Website ORCID
University of Lyon, INSA Lyon, Laboratoire Vibrations acoustique, France
Interests: vibration analysis; acoustics; inverse problems; condition monitoring; signal processing; machine learning; system identification
Dr. Dhany Arifianto Website ORCID
Institut Teknologi Sepuluh Nopember, Indonesia
Interests: estimation; estimation and detection theory; signal processing; signal analysis; vibration analysis; digital signal processing
Prof. Dr. David Baglee Website ORCID
University of Sunderland, UK
Interests: condition monitoring; fault detection; fault diagnostics
Prof. Dr. Fakher Chaari Website ORCID
National School of Engineers of Sfax, Tunisia
Interests: modelling; dynamics; modal analysis; vibration response; rotating machinery; gears; bearings; defects modelling; defects diagnostics; vibration absorbers; signal processing
Prof. Dr. Gianluca D'Elia Website ORCID
University of Ferrara, Italy
Interests: diagnostics and prognostics of rotating machines; gearbox diagnostics; bearing diagnostics; planetary gearbox diagnostics
Dr. Mucchi Emiliano Website ORCID
University of Ferrara, Italy
Interests: noise and vibrations of machines, with particular reference to elastodynamic models, condition monitoring, diagnostics and experimental vibration measurements
Prof. Dr. Spilios D Fassois Website ORCID
University of Patras, Greece
Interests: Statistical Time Series methods for stochastic identification and fault diagnosis / Structural Health Monitoring (SHM)
Prof. Dr. Olga Fink Website ORCID
ETH Zurich, Switzerland
Interests: deep learning, with a focus on transfer learning and self-supervised learning, hybrid algorithms fusing physical performance models and deep learning algorithms, deep reinforcement learning and multi-agent systems for intelligent maintenance of infrastructure and complex assets
Prof. Dr. Stephan Heyns Website ORCID
University of Pretoria, South Africa
Interests: neural networks; engineering education; dynamics; structural dynamics; engineering, applied and computational mathematics; mechanical engineering; finite element method; structural health monitoring; nondestructive testing; finite element modeling
Dr. Yuhua Li Website ORCID
Cardiff university, UK
Interests: machine learning; data science; condition monitoring; fault diagnosis
Prof. Dr. David Mba Website ORCID
University of the Arts London, UK
Interests: machine condition monitoring; machine fault diagnosis; model-based prognostics and machine performance prediction
Prof. Dr. Rahizar Ramli Website
University of Malaya, Malaysia
Interests: vehicle dynamics and controllable suspension systems; vibration and condition monitoring; structural dynamics; engineering optimization; finite element analysis and engineering acoustics; computational and experimental mechanics
Prof. Dr. Riccardo Rubini Website ORCID
Università di Modena e Reggio Emilia, Italy
Interests: simulation, monitoring and diagnostics of mechanical systems; vibration analysis; signal processing; predictive maintenance
Prof. Dr. Ian Sherrington Website ORCID
University of Central Lancashire, UK
Interests: measurement of lubrication; friction and wear
Prof. Dr. Jiong Tang Website
University of Connecticut, USA
Interests: system dynamics, control, sensing and automation
Prof. Dr. Roderick Thomas Website ORCID
Swansea University, UK
Interests: infrared thermography; predictive maintenance; asset management and vibration analysis; monitoring and analysis with particular reference to disruptive technology; as applied to the following industries: manufacturing, pharmaceutical, power generation and health and car
Dr. Van Tung Tran Website ORCID
Singapore Institute of Manufacturing Technology (SIMTECH) – A*STAR, Singapore
Interests: condition monitoring; signal and image processing; fault diagnosis; prognosis; machine learning and deep learning; AI technologies
Prof. Dr. Fernando Viadero Website ORCID
Universidad de Cantabria, Spain
Interests: vibrations in power transmissions systems, vehicle suspension design, synthesis of mechanisms and reliability of mechanical design
Prof. Dr. Ling Wang Website
University of Southampton, UK
Interests: condition monitoring, sensor technologies and advanced signal processing techniques; wind turbine bearing failure (white etching cracking) research; engine oil age detection using thick-film sensors (online oil acidity measurement)
Dr. Tianyang Wang Website ORCID
Tsinghua University, China
Interests: fault diagnosis and signal analysis of large rotating machinery (such as wind turbines and aero engines); modern signal processing; dynamic modeling; artificial intelligence; pattern recognition
Prof. Dr. Radoslaw Zimroz Website
Wroclaw University of Technology, Poland
Interests: Condition monitoring; predictive maintenance; gearboxes; bearings; mining machines; signal processing; data analysis; time varying systems; pattern recognition; process monitoring and analysis; advanced analysis; industrial BigData, IoT; monitoring systems; automation, robotics; inspection robots
(Last Updated: January 2024)
