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A Design Diversity Metric and Reliability Analysis for Redundant Systems (1999)
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| Citations: | 25 - 14 self |
BibTeX
@MISC{Mitra99adesign,
author = {Subhasish Mitra and Subhasish Mitra and Nirmal R. Saxena and Nirmal R. Saxena and Edward J. Mccluskey and Edward J. Mccluskey},
title = {A Design Diversity Metric and Reliability Analysis for Redundant Systems},
year = {1999}
}
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Abstract
failures. The conventional notion of diversity relies on "independent" generation of "different" implementations. This concept is qualitative and does not provide a basis to compare the reliabilities of two diverse systems. In this paper, for the first time, we present a metric to quantify diversity among several designs. Based on this metric, we derive analytical reliability models that show a simple relationship among design diversity, system failure rate, and mission time. We also perform availability analysis of redundant systems using our metric. In addition, we present simulation results to demonstrate the effectiveness of design diversity in duplex systems. For common-mode failures and design faults, there is a significant gain in using different implementations --- however, as our analysis shows, the gain diminishes as the mission time increases. For independent multiple-module failures, we show that, mere use of different implementations does not always guarantee higher reliability compared to redundant systems with identical implementations --- it is important to analyze the reliability of redundant systems using our metric. Our simulation results also demonstrate the usefulness of diversity in enhancing the self-testing properties of redundant systems.
Keyphrases
redundant system design diversity metric different implementation reliability analysis design diversity diverse system mission time simple relationship identical implementation duplex system common-mode failure independent generation mission time increase analysis show availability analysis system failure rate design fault several design independent multiple-module failure gain diminishes self-testing property diversity relies present simulation result simulation result significant gain first time conventional notion analytical reliability model
