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Test sample allocation method for testability verification test
Author(s) -
Qiu Wenhao,
Lian Guangyao,
Zhou Peng,
Huang Kaoli
Publication year - 2020
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.2647
Subject(s) - testability , failure mode and effects analysis , reliability engineering , sample (material) , failure mode, effects, and criticality analysis , randomness , similarity (geometry) , computer science , component (thermodynamics) , engineering , statistics , mathematics , artificial intelligence , chromatography , physics , thermodynamics , chemistry , image (mathematics)
An extended failure mode effect and criticality analysis (FMECA)‐based sample allocation method for testability verification is presented in this study to deal with the poor representativeness of test sample sets and the randomness of the testability evaluation results caused by unreasonable selection of failure samples. First, the fault propagation intensity is introduced as part of the extended information of FMECA, and the sample allocation impact factors of component units and failure modes are determined under this framework. Then, the failure mode similarity and impact factor support are defined, and the game decision method for weighing the relationship between similarity and support is proposed to obtain the weight of failure mode impact factor. Finally, a two‐step allocation framework of test samples is formulated to realize the sample allocation of component units and failure modes. This method is applied to the testability verification test of a launch control system. Results show that this method can obtain more representative test samples compared with the traditional sample allocation method while effectively reducing randomness of single testability evaluation result.