System Reliability Estimation of Divert Attitude Control System of a Launch Vehicle using Bayesian Networks

Divert attitude and control system (DACS) is a one-shot system and provides attitude correction and translation of the Launch vehicle. DACS consists of many flight critical sub systems which are arranged in a series configuration. The traditional Reliability block diagram and Fault tree diagram meth...

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Bibliographic Details
Published in:Defense science journal Vol. 70; no. 1; pp. 90 - 94
Main Authors: Muthukumar, S., Srivardhan, R. A., Bose, P. Subhash Chandra
Format: Journal Article
Language:English
Published: New Delhi Defence Scientific Information & Documentation Centre 01.01.2020
Subjects:
Algorithms
Attitude control
Bayesian analysis
Block diagrams
Component reliability
Computer simulation
Conditional probability
Control systems
Fault trees
Launch vehicles
Markov chains
Network reliability
Reliability analysis
Reliability aspects
Subsystems
System reliability
ISSN:0011-748X, 0976-464X
Online Access:Get full text
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Summary:Divert attitude and control system (DACS) is a one-shot system and provides attitude correction and translation of the Launch vehicle. DACS consists of many flight critical sub systems which are arranged in a series configuration. The traditional Reliability block diagram and Fault tree diagram methods are unsuitable for reliability modelling, when considering uncertainty among the components and system. Bayesian network is the natural choice to model dependencies among the components and system. DACS being one shot system, it is very expensive and time consuming to test more number of systems during the design and development. Hence the data is drawn from component level, subsystem level and expert opinion is used for reliability estimation. In this paper, Bayesian network modelling of DAC system was carried out for estimating the reliability using multi-level data. An algorithm is developed for computation of Conditional probabilities in Bayesian network. Posterior probability distribution of components is calculated using Markov Chain Monte Carlo (MCMC) simulations and results are compared with Junction tree based exact inference algorithm. MATLAB code is developed to estimate the reliability of DAC system.
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ISSN:0011-748X
0976-464X
DOI:10.14429/dsj.70.13708