Understanding Reliability indices of a Seabin for Automated Water Cleaning through Markov State based Modelling

The presented work explores the performance analysis of a Seabin, which is used for automated water cleaning, through Markov decision process and mathematical modelling. With the rapid increase in waste disposal into water bodies, the need for automated systems to maintain cleanliness without human intervention becomes essential. Seabin, installed at various locations, rely on the proper working of critical components, including the catch bag, pump, outer shell, filter, and power source. This paper develops a state-based mathematical model to evaluate the key parameters such as component wise reliability, mean time to first failure (MTTF) and sensitivity analysis for system’s MTTF. Performing sensitivity analysis recognizes the behaviors of different components failure on the overall performance of the system. Finally, on the basis of obtained results author provide valuable recommendations to enhance the efficiency and reliability of the Seabin.