Editorial Team


Prof. Dr. Fulei Chu      

Website   ORCID

Tsinghua University, China

Email: chufl@mail.tsinghua.edu.cn

Interests: condition monitoring; fault dynamic modelling; 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

Prof. Dr. Fengshou Gu      Website    ORCID
University of Huddersfield, UK
condition monitoring; vibroacoutic analysis; acoustic emission; fault diagnosis; signal processing; measurements; dynamic modelling; AI technologies

Prof. Dr. Zhipeng Feng      Website    ORCID
Beijing University of Science and Technology, China
signal processing; machinery fault diagnosis

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
dynamics of rotating machinery; mechanical system fault diagnosis

Prof. Dr. Konstantinos Gryllias      Website    ORCID
KU Leuven, Belgium
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

Dr. Meng Ma      Website   ORCID
Xi’an Jiaotong University, China
Interests: prognostics and health management; signal processing; surrogate modeling of complex systems; physics-informed machine learning; risk management through Bayesian inference.

Editorial Board Members (20)

Prof. Dr. Jerome Antoni      Website    ORCID
University of Lyon, INSA Lyon, Laboratoire Vibrations acoustique, France
vibration analysis; acoustics; inverse problems; condition monitoring; signal processing; machine learning; system identification

Prof. Dr. Xuefeng Chen      Website    ORCID
Xi'an Jiaotong University, China
Interests: mechanical structure design and dynamic analysis; mechanical fault diagnosis and health management; active control of major mechanical equipment

Prof. Dr. Lingli Cui      Website 
Beijing University of Technology, China
Interests: system dynamics model and equipment failure mechanism; advanced signal processing method and mechanical fault feature extraction technology;intelligent diagnosis and life prediction technology;modern sensing and on-line monitoring system

Dr. Mucchi Emiliano      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
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. Jing Lin      Website   
Beijing University of Aeronautics and Astranotics, China
Interests: mechanical system dynamic testing, fault diagnosis and prediction

Dr. Xiandong Ma     Website
Lancaster University, UK
Interests: intelligent condition monitoring and fault diagnosis/prognosis of wind power systems

Prof. Dr. Paolo Pennacchi     Website    ORCID  
Politecnico Milano, Italy
Interests: dynamics of mechanisms and complex structures; rotor dynamics and its related topics (especially for dynamics of machines employed for power generation: cracks in shafts and blades, seals, oil-film bearings); in traction systems for regional and high-speed

Prof. Dr. Rahizar Ramli      Website   
University of Malaya, Malaysia
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
simulation, monitoring and diagnostics of mechanical systems; vibration analysis; signal processing; predictive maintenance

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
computer-aided engineering; vibration analysis; dynamic analysis; automobile engineering; mechanical engineering

Prof. Dr. Ling Wang      Website
University of Southampton, UK
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. Ruqiang Yan      Website     ORCID
Xian Jiaotong University, China
wavelet transform; deep learning; transfer learning; artificial intelligence; fault diagnosis; prognostics

Prof. Dr. Wenxian Yang      Website    ORCID
Newcastle University, UK
Interests: condition monitoring; signal processing; renewable energy; wind power; biomimetic technique; offshore renewable energy; floating wind turbine; fault diagnosis; machine learning

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