RBTS Reliability Test System Data Implementation in MATLAB

The RBTS (Reliability Benchmark Test System) serves as a standardized framework for reliability assessment, providing structured datasets that can be directly interfaced with MATLAB programming environments. These datasets enable developers to implement reliability analysis algorithms through MATLAB's built-in functions and custom scripts, facilitating the creation of robust systems and applications for handling complex computational tasks. The system supports comprehensive testing procedures through programmable interfaces, allowing engineers to conduct automated reliability evaluations using methods like Monte Carlo simulations and failure probability analysis. Key MATLAB functions typically employed include data import operations (readtable, load), statistical analysis tools (fitdist, probability distributions), and reliability-specific calculations for system performance metrics. For reliability testing professionals, RBTS integration with MATLAB provides a practical toolkit for conducting standardized equipment validation studies and system reliability assessments through code-driven analysis workflows.