Wavelet Packet Extraction for Rolling Bearing Fault Energy Features

This MATLAB program is designed for extracting fault energy features from rolling bearing vibration signals. Users can directly input their collected rolling bearing vibration data to utilize the program effectively. The program analyzes vibration signals through wavelet packet decomposition to extract energy features that help identify fault conditions in rolling bearings. Key implementation details include: - Wavelet packet transform for multi-level signal decomposition - Energy calculation from terminal nodes of the decomposition tree - Feature vector construction for fault classification - Automated signal processing workflow with configurable parameters The program features a straightforward design with clear documentation, making it accessible for beginners in signal processing and fault diagnosis. We welcome users to try the program and provide valuable feedback for improvements. The code includes comments and examples to facilitate understanding of the wavelet packet energy extraction methodology.