Hilbert-Huang Transform MATLAB Implementation

This package provides a complete MATLAB implementation of Hilbert-Huang Transform along with detailed Word documentation. The algorithm is extensively applied in mechanical industry fault diagnosis systems, employing advanced signal analysis and processing techniques to identify fault patterns and determine optimal solutions. The implementation includes key components such as Empirical Mode Decomposition (EMD) for signal decomposition and Hilbert spectral analysis for instantaneous frequency calculation. The programs thoroughly document the algorithmic workflow including signal preprocessing, intrinsic mode function extraction, and Hilbert spectrum generation. Each module contains commented code sections explaining parameter configuration, signal handling methods, and result interpretation. The implementation supports both basic and advanced features like endpoint effect handling, sifting process optimization, and spectrum visualization. Whether you're a beginner or experienced engineer, this package offers valuable reference material with practical examples demonstrating how to process vibration signals, analyze frequency components, and interpret diagnostic results. The code structure follows modular programming principles, allowing easy customization for specific mechanical systems and fault detection scenarios.