Availability Prediction of Repairable Fault-Tolerant System with Imperfect Coverage, Reboot, and Common Cause Failure

2018 ◽  
pp. 93-103 ◽  
Author(s):  
Madhu Jain ◽  
Pankaj Kumar
Keyword(s):  
Fault Tolerant ◽  
Common Cause ◽  
Fault Tolerant System ◽  
Common Cause Failure ◽  
Imperfect Coverage

Fault-tolerant redundant repairable system with different failures and delays

2019 ◽  
Vol 37 (3) ◽  
pp. 1043-1071
Author(s):  
Chandra Shekhar ◽  
Amit Kumar ◽  
Shreekant Varshney ◽  
Sherif I. Ammar
Keyword(s):  
Reliability Analysis ◽  
Time Distribution ◽  
Service System ◽  
Fault Tolerant ◽  
Repair Time ◽  
Repairable System ◽  
Common Cause ◽  
Content Type ◽  
Common Cause Failure ◽  
N Stage

Purpose The internet of things and just-in-time are the embryonic model of innovation for the state-of-the-art design of the service system. This paper aims to develop a fault-tolerant machining system with active and standby redundancy. The availability of the fault-tolerant redundant repairable system is a key concern in the successful deployment of the service system. Design/methodology/approach In this paper, the authors cogitate a fault-tolerant redundant repairable system of finite working units along with warm standby unit provisioning. Working unit and standby unit are susceptible to random failures, which interrupt the quality-of-service. The system is also prone to common cause failure, which tends its catastrophe. The instantaneous repair of failed unit guarantees the increase in the availability of the unit/system. The time-to-repair by the single service facility for the failed unit follows the arbitrary distribution. For increasing the practicability of the studied model, the authors have also incorporated real-time machining practices such as imperfect coverage of the failure of units, switching failure of standby unit, common cause failure, reboot delay, switch over delay, etc. Findings For deriving the explicit expression for steady-state probabilities of the system, the authors use a supplementary variable technique for which the only required input is the Laplace–Stieltjes transform (LST) of the repair time distribution. Research limitations/implications For complex and multi-parameters distribution of repair time, derivation of performance measures is not possible. The authors prefer numerical simulation because of its importance in the application for real-time uses. Practical implications The stepwise recursive procedure, illustrative examples, and numerical results have been presented for the diverse category of repair time distribution: exponential (M), n-stage Erlang (Ern), deterministic (D), uniform (U(a,b)), n-stage generalized Erlang (GE[n]) and hyperexponential (HE[n]). Social implications Concluding remarks and future scopes have also been included. The studied fault-tolerant redundant repairable system is suitable for reliability analysis of a computer system, communication system, manufacturing system, software reliability, service system, etc. Originality/value As per the survey in literature, no previous published paper is presented with so wide range of repair time distribution in the machine repair problem. This paper is valuable for system design for reliability analysis of the fault-tolerant redundant repairable.

Is mapping a part of common cause failure quantification?

Kerntechnik ◽  
2006 ◽  
Vol 71 (1-2) ◽  
pp. 41-49 ◽  
Author(s):  
J. K. Vaurio
Keyword(s):  
Common Cause ◽  
Common Cause Failure

Reliability of k-r-out-of-N:G system subject to random and common cause failure

1997 ◽  
Vol 29 (3) ◽  
pp. 213-218 ◽  
Author(s):  
Madhu Jain ◽  
R.P. Ghimire
Keyword(s):  
Common Cause ◽  
Common Cause Failure

Fault-Tolerant Strategy for Real-Time System Based on Evolvable Hardware

2017 ◽  
Vol 26 (07) ◽  
pp. 1750111 ◽  
Author(s):  
Jie Wang ◽  
Jiwei Liu
Keyword(s):  
Real Time ◽  
Recovery Time ◽  
Fault Tolerant ◽  
Fault Tree Analysis ◽  
Repair Process ◽  
Evolvable Hardware ◽  
Target System ◽  
Time System ◽  
Real Time System ◽  
Fault Tolerant System

The evolvable hardware (EHW) is widely used in the design of fault-tolerant system. Fault-tolerant system is really a real-time system, and the recovery time is necessary in fault detection and recovery. However, when applying EHW, real-time characteristic is usually ignored. In this paper, a fault-tolerant strategy based on EHW is proposed. The recovery time, predicted by the fault tree analysis (FTA), is considered as a constraint condition. A configuration library is set up in the design phase to accelerate the repair process of the anticipated faults. An evolvable algorithm (EA) based on similarity is applied to evolve the repair circuit for the unanticipated faults. When the library reaches the upper, the target system is reconfigured by the EA-repair technology. Extensive experiments are conducted to show that our method can improve the fault-tolerance of the system while satisfying the real-time requirement on FPGA platform. In a long run system, our method can keep a higher fault recovery rate.

A pragmatic approach to estimate alpha factors for common cause failure analysis

2014 ◽  
Vol 63 ◽  
pp. 317-325 ◽  
Author(s):  
Varun Hassija ◽  
C. Senthil Kumar ◽  
K. Velusamy
Keyword(s):  
Failure Analysis ◽  
Pragmatic Approach ◽  
Common Cause ◽  
Common Cause Failure

Inter-Unit Common Cause Failure Analysis Based on Data From Intra-Unit Cases

2021 ◽  
Author(s):  
Eishiro Higo ◽  
Shota Soga ◽  
Hiromichi Miura
Keyword(s):  
Failure Analysis ◽  
Common Cause ◽  
Common Cause Failure
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