MATLAB Source Code for Fault Diagnosis Implementation

The MATLAB-based fault diagnosis source code provides a comprehensive suite of signal processing techniques for mechanical and system fault detection. The implementation includes time-domain analysis methods such as statistical feature extraction (mean, variance, RMS) and waveform characteristic analysis. Frequency-domain analysis covers Fourier Transform implementations with windowing techniques and power spectral density calculations. The code features advanced zoom spectrum analysis for high-resolution frequency examination and cepstrum analysis for detecting periodic components in complex signals. Key functions include signal preprocessing, feature extraction algorithms, and pattern recognition modules that enable accurate fault identification and classification. This robust toolkit allows engineers to perform detailed fault analysis through customizable parameters and visualization tools, supporting both time-series and frequency-domain diagnostic approaches for various industrial applications.