Mission Abort Policy for Systems with Observable States of Standby Components

This article makes contributions by modeling standby systems subject to MAPs that depend not only on the number of failed online components but also on the number of available standby components remaining. Further, dynamic MAPs considering another additional factor, the time elapsed from the mission beginning in the event of the mission abort decision making, are investigated. The solution methodology encompasses an event ‐transition based numerical algorithm for evaluating the mission success probability and system survival probability of standby systems subject to the considered MAPs. Examples are provided to demonstrate the benefit of considering the state of standby components and elapsed operation time in obta ining more flexible MAPs.

Source: Risk Analysis - July 10, 2020 Category: International Medicine & Public Health Authors: Gregory Levitin, Liudong Xing, Yuanshun Dai Tags: Original Research Article Source Type: research