A Testability Modeling Method Based on Colored Generalized Stochastic Petri Nets

doi:10.3969/j.issn.1000-1093.2021.03.023

Abstract

Abstract: The relationship between system failures and tests is simplified and the complexity of failure modes is ignored in the existing testability model. A testability modeling method based on colored generalized stochastic Petri nets (CGSPN) is proposed. The complexity of the failure mode is analyzed based on the theory of Petri net, and the severity level is correlated with the color to complete the construction of CGSPN model. The coding scheme is used to distinguish the multiple failure modes of the same failure, thus effectively reducing the difficulty of modeling. A reachability algorithm is used to obtain the correlation matrix. The triangular fuzzy number algorithm is introduced to obtain expert knowledge, and the expert data, as a priori information, and a posteriori test data are used to solve the problem of low data volume and unreliability. Finally, taking a certain type of missile as an example, the CGSPN model was established, and 96.8% fault detection rate and 100% fault isolation rate were obtained. On the basis of meeting testability requirements, the content of the proposed model is enriched.

Key words: testabilitymodeling, severedegree, coloredgeneralizedstochasticPetrinet, codingscheme, dependencymatrix, triangularfuzzynumberalgorithm, priorexpertinformation

CLC Number:

TJ765.4⁺1

ZHAI Yuyao, SHI Xianjun, HAN Lu, L Jiapeng. A Testability Modeling Method Based on Colored Generalized Stochastic Petri Nets[J]. Acta Armamentarii, 2021, 42(3): 655-662.

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第42卷第3期2021 年3月
兵工学报ACTA ARMAMENTARII
Vol.42No.3Mar.2021