DocumentCode :
2877692
Title :
Hardware-based Reliability Tree (HRT) for fault tree analysis
Author :
Rajabzadeh, Amir ; Jahangiry, Mohammad S.
Author_Institution :
Dependable Embedded Syst. Lab. (DESL), Razi Univ., Kermanshah, Iran
fYear :
2010
fDate :
23-24 Sept. 2010
Firstpage :
171
Lastpage :
172
Abstract :
Reliability analysis of critical systems is performed using fault trees. Fault trees are then converted to their equivalent Binary Decision Diagram, Cut Set, Markov Chain or Bayesian Network. These approaches however are complex and time consuming if a continuous time reliability curve is aimed, particularly for large systems. This paper introduces Hardware-based Reliability Tree (HRT). The HRT can be implemented by hardware in order to decrease reliability calculation time of a complex system. In this method, from a given fault tree, an equivalent Reliability Tree is generated and an equivalent hardware using op-amp, adder, gain, and multiplier circuits, is constructed. After obtaining continuous reliability curve over time, an integrator is utilized for calculating time to failure of the system. In order to evaluate the model, two systems were evaluated. The first one is a security alarm system and the second consists of two processors which share a single spare. In the case of failure of each processor, the spare is activated. Evaluation of these benchmarks using hardware implemented HRT demonstrates an speed up of up to 3.4E+6.
Keywords :
fault trees; Bayesian network; HRT; Markov chain; binary decision diagram; critical systems; cut set; fault tree analysis; hardware based reliability tree; reliability analysis; reliability calculation time; time reliability; Computational modeling; Fault trees; Hardware; Logic gates; Markov processes; Software reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Architecture and Digital Systems (CADS), 2010 15th CSI International Symposium on
Conference_Location :
Tehran
Print_ISBN :
978-1-4244-6267-4
Type :
conf
DOI :
10.1109/CADS.2010.5623587
Filename :
5623587
Link To Document :
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