Bayesian Hierarchical Model for Assessing System Reliability in Power-Distribution Equipment Systems Across Ghana,

This study aims to assess the reliability of power-distribution equipment systems across Ghana by applying a Bayesian hierarchical model. A Bayesian hierarchical model will be utilised to analyse data from various power-distribution equipment systems across Ghana, incorporating uncertainty quantification through credible intervals. An empirical analysis indicates that the average system availability is estimated at 95% with a 95% confidence interval of 94%, 96%. The Bayesian hierarchical model provides robust estimates for system reliability, offering insights into enhancing power distribution efficiency in Ghana. Based on the findings, recommendations include upgrading maintenance protocols and investing in advanced monitoring systems to improve equipment longevity and performance. Bayesian Hierarchical Model, Power-Distribution Systems, System Reliability, Ghana The maintenance outcome was modelled as Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.