Journal Information
Mechanical Systems and Signal Processing
https://www.journals.elsevier.com/mechanical-systems-and-signal-processing
Impact Factor:
5.00
Publisher:
Elsevier
ISSN:
0888-3270
Viewed:
4354
Tracked:
4

Call For Papers
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

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 
Last updated by Dou Sun in 2020-11-18
Special Issues
Special Issue on Multistable Systems
Submission Date: 2021-05-01

Multistable systems owning multiple equilibrium positions are widely spread in the natural world and artificial devices, which are highly sensitive to disturbance, initial conditions, system parameters, etc. Recently, multistability has being exploited to improve the performance of structures, vibration control, and extractweak periodic signal from noise. For instance, multistable energy harvesters were found to improve energy harvesting performance from low-level and low-frequency environmental vibrations such as human activities. In addition, the instability of multistable systems can be used to improve the performance of sensitive and precise vibration control. Furthermore, stochastic resonance phenomenon is widely observed in multistable systems. Therefore, takinga physical perspective, using multistable systems to design numerical or experimental filters for improved signal processing may be interesting and meaningful. At the same time, the exploration of multistability in origami/flexible structures, soft actuators, metamaterials, and MEMS/NEMS devices will reveal new phenomena and mechanisms. Thus, the investigation and development of multistable systems play an important role in the technological advances. Therefore, this special issue is focused on the latest advances in Multistable Systems. The scope of this issue includes but not limited to the following topics: Fundamental theory of multistable systems Theoretical and experimental investigation of multistability in vibration control. Design, modeling, and optimization of multistable energy harvesters. Advanced methods for multistable stochastic resonance in signal processing. Novel design and mechanical behavior of multistable flexible and soft structures. Multi-physics analysis of multistable metamaterials. Multistable mechanism and design for MEMS/NEMS devices.
Last updated by Dou Sun in 2020-11-18
Related Journals
Related Conferences
Recommendation