Vol. 10, Issue 11, Part B (2024)

In this paper system parameters of a Non-Markovian repairable systems with warm standby system with priority in repair to failed units under steady state are modeled using machine learning. A single server is available 24x7 and carries out all type of repairs inn the system. Failed unit after repair is supposed to be as if new. Various disappointment/repair rates of elements stand occupied as exponential and statistically independent.