MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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