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A Theoretical Framework of COTS Components Space Application Based on “Risk Information Entropy”
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Commercial off-the-shelf (COTS) components have been widely used
in the aerospace at home and abroad, but there is no systematic theory
of quantitative evaluation of the risk. Therefore, based on Shannon’s
information entropy, the risk information entropy is proposed to
describe the risk uncertainty of COTS components in space application.
And a theoretical framework of COTS components space application is
established, which includes calculation and decrease of the entropy.
According to whether the failure mode and failure frequency ratio are
known, different risk information entropy models are established for
components. Based on this, a system risk information entropy model is
established, and a continuous optimization method for the risk
information entropy model is proposed. In addition, it introduces how to
achieve system entropy reduction from several aspects, such as selection
guidance, application certification, reliability reinforcement, and
status detection.
Title: A Theoretical Framework of COTS Components Space Application Based on “Risk Information Entropy”
Description:
Commercial off-the-shelf (COTS) components have been widely used
in the aerospace at home and abroad, but there is no systematic theory
of quantitative evaluation of the risk.
Therefore, based on Shannon’s
information entropy, the risk information entropy is proposed to
describe the risk uncertainty of COTS components in space application.
And a theoretical framework of COTS components space application is
established, which includes calculation and decrease of the entropy.
According to whether the failure mode and failure frequency ratio are
known, different risk information entropy models are established for
components.
Based on this, a system risk information entropy model is
established, and a continuous optimization method for the risk
information entropy model is proposed.
In addition, it introduces how to
achieve system entropy reduction from several aspects, such as selection
guidance, application certification, reliability reinforcement, and
status detection.
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