Applications in Vibration Signal Processing

MATLAB finds extensive applications in vibration signal processing. It can be utilized for preprocessing vibration signals, including operations such as filtering, noise reduction, and feature extraction with functions like `filter()`, `smoothdata()`, and `pwelch()` for power spectral density estimation. Furthermore, MATLAB enables the development of modal parameter identification programs through algorithms like the Frequency Domain Decomposition (FDD) method or Stochastic Subspace Identification (SSI) implemented via custom scripts or toolboxes. By analyzing spectral characteristics of vibration signals and employing modal analysis techniques through functions such as `modalfrf()` and `modalsd()`, structural vibration modal parameters including natural frequencies, damping ratios, and mode shapes can be obtained. These parameters are crucial for structural health monitoring and fault diagnosis systems. Therefore, mastering MATLAB's applications in vibration signal processing proves highly beneficial for engineers and researchers working with dynamic system analysis and mechanical diagnostics.