Mechanical Systems and Signal Processing

Mechanical Systems and Signal Processing (MSSP) is an interdisciplinary journal in Mechanical, Aerospace, and Civil Engineering aiming at reporting scientific advancements of the highest quality arising from novel concepts and techniques in signal and information processing and related topics in engineering dynamics and dynamical 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.

Scope of MSSP

The scope of MSSP encompasses original research work on signal and information processing and related topics within engineering dynamics and dynamical systems, as required in Mechanical, Aerospace, and Civil Engineering. The work should focus on one (or more) of the subject areas listed below. Prospective authors must select a single best fitting subject area during manuscript submission.

[A] Signal processing in machine/system health monitoring

[B] Non-stationary and stationary random vibration

[C] Time series methods

[D] Rotor dynamics

[E] Signal processing in manufacturing/machining

[F] Powertrains and drivetrains

[G] Acoustics, waves, and SEA

[H] Control of vibration and noise

[I] Structural Health Monitoring (SHM)

[J] Structural/system or modal identification (including parameter estimation

[K] Nonlinear vibration (including energy harvesting)

[L] Uncertainty quantification

[M] Prognostics

[N] Smart structures and systems

The following subject areas are currently outside the MSSP scope:

• Multi-body dynamics and robotics, including control of robots

• Control of vehicles

• Theoretical control - papers better suited to a specialist controls journal

• Theoretical nonlinear dynamics without experimental validation

• Uncertainty quantification with no clearly defined relevance to engineering dynamics