MATLAB Wavelet Analysis for Bearing Fault Vibration Signals

This document presents a MATLAB wavelet analysis program designed for bearing fault vibration signal analysis. Beyond extracting fault characteristic frequencies, the program implements several advanced signal processing functionalities. It performs amplitude and phase analysis of vibration signals using wavelet transform algorithms like Continuous Wavelet Transform (CWT) or Discrete Wavelet Transform (DWT), capturing time-frequency variations through multi-resolution decomposition. The program generates comprehensive visualizations including scalograms, time-series plots, and frequency spectrum charts using MATLAB's wavelet toolbox functions (e.g., cwt, wavedec). These analytical outputs help users identify signal characteristics and trends, such as impulse responses corresponding to bearing defects. With built-in functions for signal denoising and feature extraction, this toolkit serves as a valuable resource for mechanical fault diagnosis and predictive maintenance applications.