Mechanical Systems and Signal Processing (MSSP) is an interdisciplinary journal in Mechanical, Aerospace and Civil Engineering with the purpose of reporting scientific advancements of the highest quality arising from new techniques in sensing, instrumentation, signal processing, modelling and control of dynamic systems. MSSP papers are expected to make a demonstrable original contribution to engineering knowledge, which should be significant in terms of advancement over established methods. Especially sought are papers that include both theoretical and experimental aspects, or that include theoretical material of high relevance to practical applications. MSSP is a leader in its field and research areas covered include:
1. Actuation, Sensing and Control
• Vibration & noise control
• Travelling waves
• Smart-material systems
• Piezoelectrics
• Adaptivity
• Integrated systems
2. Measurement & Signal Processing
• Signal processing for the understanding of mechanical systems
• Full-field vibration/acoustic measurements
• Big data problems
3. Nonlinearity
• Nonlinear vibration problems
• Nonlinear normal modes
• Energy harvesting
4. Rotating Machines, Machinery Diagnostics & SHM
• Diagnostics and prognostics
• Rotor dynamics
• Cracks in rotors
• Bearings and gears
5. Uncertainty Quantification
• Probabilistic, interval & fuzzy analysis
• Reliability and robustness
• Bayesian methods
6. Vibrations, Modal Analysis & Structures
• Structural modelling & identification
• Inverse problems
• Operational modal analysis
• Ambient vibration testing
Papers submitted to MSSP should include in the covering letter a clear statement of the original scientific contribution of the work. This should also be stated briefly in the Abstract and expanded upon in the Introduction. Also in the Introduction it is important to clearly define the specific problem treated with all conditions and assumptions made, and to place the contribution in relation to both the historical literature (usually in chronological order) and the state of art. The state of the art should, as much as possible, be summarised and classified but not given as a mere listing of papers. The specific reason(s) for introducing a new method or approach should become clear based on the presented state of the art. Any advantages of proposed methods over established techniques should be explained clearly and in detail, including comparative tests and experimental evidence wherever possible.
MSSP aims to maintain a high standard of written English and it is the authors' responsibility to ensure that the language is intelligible. Failure to do so may result in rejection of your paper.
Authors of papers with Machine-Learning or Signal Processing content should see the MSSP guidelines on these subjects: http://media.journals.elsevier.com/content/files/machine-learning-04180327.pdf
https://www.elsevier.com/__data/promis_misc/SignalProcessing.pdf
Editorial board
Editor-in-Chief
- J.E. Mottershead
University of Liverpool, Liverpool, United Kingdom
Associate Editors
- J. Antoni
National Institute of Applied Sciences of Lyon, Villeurbanne, France - S. Fassois
University of Patras Department of Mechanical Engineering and Aeronautics, Patras, Greece - X. J. Jing
The Hong Kong Polytechnic University, Dept. of Mechanical Engineering, Hong Kong, China - Y. Lei
Xi'an Jiaotong University School of Mechanical Engineering Institute of Design Science and Basic Components, Xi'an, China - P. Pennacchi
Polytechnic University of Milan, Milano, Italy
Founding Editor
- S.G. Braun
Technion Israel Institute of Technology, Haifa, Israel
Editorial Board Members
- M. Beer
Leibniz University Hanover, Hannover, Germany - D. Bernal
Northeastern University, Boston, Massachusetts, United States - M. Boltezar
University of Ljubljana, Ljubljana, Slovenia - P. Borghesani
University of New South Wales, Sydney, Australia - E. Chatzi
Swiss Federal Institute of Technology Zurich Institute of Structural Engineering, Zurich, Switzerland - J. W. Choi
Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of - S. De Rosa
University of Naples Federico II, Naples, Italy - D.J. Ewins
Imperial College London, London, United Kingdom - M.I. Friswell
Swansea University, Swansea, Wales, United Kingdom - L. Garibaldi
Polytechnic of Turin, Torino, Italy - Y. Halevi
Technion Israel Institute of Technology, Haifa, Israel - G. Kerschen
University of Liege, Liege, Belgium - I. Kougioumtzoglou
Columbia University Department of Civil Engineering and Engineering Mechanics, New York, New York, United States - P.R.G. Kurka
State University of Campinas, CAMPINAS, Brazil - A. Le Bot
Central College Lyon, Ecully, France - M. Link
University of Kassel, Kassel, Germany - O. Ma
New Mexico State University, Las Cruces, New Mexico, United States - N. M. M. Maia
University of Lisbon Higher Technical Institute, Lisboa, Portugal - D. Moens
KU Leuven Association, Leuven, Belgium - A. Morassi
University of Udine, Udine, Italy - J. Noël
University of Liege, Liege, Belgium - W. M. Ostachowicz
Polish Academy of Sciences, Warszawa, Poland - R.B. Randall
University of New South Wales, Sydney, New South Wales, Australia - D. Remond
Contacts and Structures Mechanics Laboratory, Villeurbanne Cedex, France - W. X. Ren
Hefei University of Technology School of Civil Engineering, Hefei, China - E. Reynders
KU Leuven Association, Leuven, Belgium - J. Rodellar
Technical University of Catalunya, Barcelona, Spain - A. Sestieri
University of Rome La Sapienza, Roma, Italy - K. Shin
Andong National University, School of Mechanical Engineering, Andong, Kyungbuk, Korea, Republic of - J. Slavič
University of Ljubljana, Ljubljana, Slovenia - G. Totis
University of Udine, Udine, Italy - P. Walker
University of Technology Sydney, Sydney, Australia - K. Worden
The University of Sheffield Department of Mechanical Engineering, Sheffield, United Kingdom - D. Yurchenko
Heriot-Watt University, Edinburgh, UK - H. Zhang
OHIO STATE UNIVERSITY, Columbus, Ohio, United States