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The Reliability of Complex Systems with Dependent Subsystem Failures: An Absorbing Markov Chain Model
Robert R. Britney
Vol. 16, No. 2 (May, 1974), pp. 245-250
Published by: Taylor & Francis, Ltd. on behalf of American Statistical Association and American Society for Quality
Stable URL: http://www.jstor.org/stable/1267946
Page Count: 6
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Complex systems usually fail through a gradual deterioration of component subsystems until a critical subsystem failure renders the unit inoperative. Given exponential life distributions of chance failures for individual subsystems, absorbing Markov chains capture the statistics of this deterioration. Dependent subsystem failures are readily accomodated. Matrix formulations yield estimates of the system mean time to failure for all states of deterioration. Examples illustrate several distinct forms of subsystem interdependencies; and their implications for systems design, maintenance and repairs are examined.
Technometrics © 1974 American Statistical Association