MATLAB Code Implementation for Fault Detection Simulation

This MATLAB program implements a sophisticated fault detection simulation system designed to test and diagnose various types of system malfunctions. The implementation utilizes multiple algorithmic approaches including statistical analysis, pattern recognition, and signal processing techniques. Key functions in the codebase include fault injection modules, system response monitoring, and diagnostic analysis routines. Users can configure custom simulation scenarios through parameterized input interfaces and test multiple systems concurrently using parallel processing capabilities. The program incorporates advanced features such as real-time data visualization, automated report generation with performance metrics, and comparative analysis tools. The code structure follows modular design principles, with separate components for data preprocessing, fault detection algorithms, and result interpretation. Implementation details include state-space modeling for system representation, wavelet transform for signal analysis, and machine learning classifiers for fault pattern recognition. This simulation tool serves as an essential resource for both professionals and students in system diagnostics, providing hands-on experience with practical fault detection methodologies and their MATLAB implementation.