Reliability of warm-standby systems subject to imperfect fault coverage

Abstract

This article models and analyzes the reliability of warm-standby systems subject to imperfect fault coverage based on sequential multistate decision diagrams. For warm-standby systems, the standby units have different failure rates before and after they are used to replace the online faulty unit. Furthermore, a component fault may propagate through the system and cause the entire system to fail if the fault is uncovered or undetected due to the imperfect system recovery mechanism. Existing works on warm-standby systems with imperfect fault coverage are restricted to some special cases, such as cases assuming an exponential time-to-failure distribution for all the system components or cases considering only one warm spare unit. The proposed sequential multistate decision diagram-based approach can overcome the limitations of the existing approaches. Examples are given to illustrate its advantages and applications.

Redundancy allocation of mixed warm and cold standby components in repairable K-out-of-N systems

“…Furthermore, Figure 8 shows the long-run average cost for different types of repairable 20-out-of-40 systems. It can be seen that (20,5,15) system has the lowest long-run cost rate.…”

“…Jia et al 12,13 and Zhai et al 14 focused on reliability characteristics of demand-based warm standby system under different configurations. Tannous et al 15 analyzed the reliability of warm standby system subject to imperfect fault coverage. For repairable K -out-of- N systems, Frostig and Levikson 16 analyzed the general properties of repairable systems using Markov renewal processes.…”

An analytical method for reliability analysis of hardware‐software co‐design system

“…One is primary and online providing the desired function when it is operating correctly; the other is a standby component partially exposed to the operational stresses and is activated to replace the primary component when failing. [27][28][29] The warm standby HW component can fail during the standby mode with a failure rate α f smaller than the failure rate of the primary HW component λ f , ie, α f < λ f . After the standby component is activated to replace the faulty primary component, it has the full failure rate λ f .…”

Reliability of nonrepairable phased-mission systems with common bus performance sharing

“…[15][16][17] The reliability analysis of PMSs can involve component maintenance, 18,19 multimode failures, [20][21][22] common cause failures, [23][24][25] competing failures, 26 random shocks, 27 cause consequence, 28 variable mission time, 29 and fault coverage level. 30,31 The optimal component test plans for PMSs are identified. 32 Unmanned autonomous vehicles are realistic PMSs and the reliability evaluation is discussed based on BDD.…”