@article{CRSIJ26000099,
                  author = {Agbagbo Princewill, Omijeh B.O, Okeke R.O},
                  title = {Simulation and Reliability Assessment of High Integrity Pressure Protection Systems (HIPPS) Using Fault Tree Analysis in MATLAB/Simulink: A Comparative Study of MBF and Beta-Factor Models},
                  journal = {Cosmo Research and Science International Journal},
                  year = {2025},
                  volume = {1},
                  number = {5},
                  pages = {219-251},
                  issn = {3108-1584},
                  url = {https://cosmorsij.com/published/CRSIJ26000099.pdf},
                  abstract = {This study presents a simulation-based reliability assessment of High Integrity Pressure Protection Systems (HIPPS) using Fault Tree Analysis (FTA) implemented in MATLAB/Simulink, with a comparative evaluation of the Multiple Beta-Factor (MBF) model and the conventional Beta-Factor model. HIPPS are critical safety systems employed in high-risk industries to prevent over-pressurization and mitigate hazardous events. Despite their importance, their reliability is often undermined by design deficiencies, inadequate maintenance practices, and operational errors, leading to frequent system failures and compromised safety. To address these challenges, this research develops a comprehensive FTA framework integrated with both MBF and single Beta-Factor models to evaluate system performance under various failure scenarios. The MBF approach, which accounts for multiple common-cause failure contributors among redundant components, is compared with the traditional Beta-Factor model to determine its effectiveness in capturing system dependencies and improving reliability predictions. Simulation models were developed in MATLAB/Simulink to analyze system behavior and quantify failure probabilities. Results from the comparative analysis indicate that the MBF model provides a more accurate and detailed representation of system reliability by incorporating multiple failure interactions. The findings reveal that inadequate design processes increase failure likelihood by approximately 25%, poor maintenance practices contribute to a 35% rise in failure risk, and operational errors account for about 20% of system failures. Environmental factors, such as extreme temperatures, were observed to increase degradation rates by 15%. Furthermore, the integration of real-time monitoring systems demonstrated a potential reduction of failure modes by up to 40%, significantly enhancing overall system reliability. The study concludes that the MBF model offers superior reliability assessment capabilities compared to the traditional Beta-Factor model, particularly in complex systems with multiple interdependent failure modes. It is recommended that industries adopt advanced reliability modeling techniques, improve design and maintenance strategies, enhance operator training, and integrate real-time monitoring technologies to optimize HIPPS performance. This research provides valuable insights for improving safety, reliability, and operational efficiency in high-pressure industrial systems.},
                  keywords = {High Integrity Pressure Protection System (HIPPS), Fault Tree Analysis (FTA), Reliability Assessment, Beta-Factor Model, Multiple Beta Factor (MBF) Model, Common Cause Failure (CCF), MATLAB/Simulink Safety Integrity Level (SIL)},
                  month = {March}
        }