ISBN: 978-981-18-5852-9 DOI: 10.18178/wcse.2022.04.189
Analysis of Reliability Prediction and Maintainability Activities of an Earth Station System using Parallel Configurations
Abstract— The recent news regarding the Malaysian satellite, MEASAT-3; which suffered an anomaly has
caused the satellite to drift out of its geostationary orbit, and the uncontrolled re-entry of the Chinese Long
March 5B rocket in 2021 had sparked high alarms in satellite operators industry. Due to the satellite
communication system failure, the government had loss a massive amount of money. Hence, it is essential to
equip the system with a sustainable framework design which can be achieved through an optimum system
reliability and maintainability. Subsystem redundancies, multiple testing during the planning stage, and
selection of only the best components for its subsystems can improve the system reliability. Also, relevant
maintenance activities should be performed frequently to avoid cost overruns and unforeseen failures. This
paper presents an analysis of the reliability and maintainability of an Earth Station system using Monte Carlo
simulations. The results show that the highest reliability value is obtained for the 3-parallel configuration.
Suitable maintenance activities are also suggested to assist with the maintainability of the Earth Station
system.
Index Terms— reliability, maintainability, earth station system, mean time between failure, Monte Carlo
simulation.
Nur Shazana Abdul Rahman
Department of Electrical and Computer Engineering, International Islamic University Malaysia, Malaysia
Nadirah Abdul Rahim
Department of Electrical and Computer Engineering, International Islamic University Malaysia, Malaysia
Cite: Nur Shazana Abdul Rahman, Nadirah Abdul Rahim, " Analysis of Reliability Prediction and Maintainability Activities of an Earth Station System using Parallel Configurations, " WCSE 2022 Spring Event: 2022 9th International Conference on Industrial Engineering and Applications, pp. 1647-1655, Sanya, China, April 15-18, 2022.