Reliability And Cost Integration Using Trade-Space Exploration for Satellite Anomalies
DOI:
https://doi.org/10.56532/mjsat.v6i1.723Keywords:
Reliability, Cost, Exponential, Parametric Models, Trade-space explorationAbstract
A satellite is an important component in supplying crucial services such as communications, navigation, and earth observation, which profoundly rely on satellite reliability. Satellite reliability is described as the possibility that a satellite system is operational in stated environments, confirming the satellite operates efficiently and continuously without service disruptions. The effect of satellite anomalies as a major reason for satellite failures, cost, and incompetence of satellite systems has been emphasized in the previous research. But these works generally lack a thorough reliability analysis using constructed mathematical models. Thus, this work fills the gap by working on 87 satellite reliability data points and 42 cost data points from Seradata database using trade-space exploration (TSE). The work was done by considering parametric models (Weibull, Exponential, and Poisson) and non-parametric models (Kaplan-Meier and Monte Carlo Simulation) for reliability. Meanwhile, for cost, we employed parametric models (Weibull, Exponential, and Poisson). The results from both reliability and cost show that the Exponential model proves the best model in terms of performance, with the lowest Root Mean Square Error (RMSE) values for all communication subsystems and the lowest RMSE and RRMSE for one variable (considered cost only) and two-variable (considered cost and design life). Integrating both reliability and cost models shows a good deployment in an engineering decision-support system (DSS).
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Copyright (c) 2026 Nadirah Abdul Rahim, Muhamad Imran Haris Ahmad Mahmood, Muhammad Aryss Zafran Shahrul Ariffin, Abdul Mutholib
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