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| Method and Software of Reliability Prediction for Complex Pyrotechnic System |
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| DOI：10.7643/issn.1672-9242.2022.12.001 |
| KeyWord:complex pyrotechnic system reliability GO graph model logic of reliability Monte-Carlo method |
| Author | Institution |
| YUAN Xiao-xia |
Science and Technology on Applied Physical and Chemistry Laboratory, Shaanxi Applied Physics and Chemistry Research Institute, Xi'an , China |
| FU Dong-xiao |
Science and Technology on Applied Physical and Chemistry Laboratory, Shaanxi Applied Physics and Chemistry Research Institute, Xi'an , China |
| MA Hong-liang |
Science and Technology on Applied Physical and Chemistry Laboratory, Shaanxi Applied Physics and Chemistry Research Institute, Xi'an , China |
| ZHANG Lei |
Science and Technology on Applied Physical and Chemistry Laboratory, Shaanxi Applied Physics and Chemistry Research Institute, Xi'an , China |
| LI Fang |
Science and Technology on Applied Physical and Chemistry Laboratory, Shaanxi Applied Physics and Chemistry Research Institute, Xi'an , China |
| ZHANG Rui |
Science and Technology on Applied Physical and Chemistry Laboratory, Shaanxi Applied Physics and Chemistry Research Institute, Xi'an , China |
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| Abstract: |
| The work aims to solve the problems such as low computational efficiency and error-prone in reliability modeling and prediction of complex system. In this work, the method of reliability prediction for complex pyrotechnic system was analyzed based on the GO (Goal Oriented) method. The reliability model and algorithm of different kinds of pyrotechnics components were established. Combining with the GO diagram model of the system, the reliability of the system was predicted and quantitatively analyzed. Based on the reliability model and algorithm, the reliability prediction software of the pyrotechnic system was developed. The software was used to predict the reliability of a typical seat ejection pyrotechnic system, and the calculated results were compared with those obtained by the Monte-Carlo simulation method, and the maximum relative error was not more than 0.004 8%. It is concluded that the reliability prediction method based on the GO method is reasonable and feasible. Moreover, the reliability prediction software developed with the GO method can improve the computational efficiency and provide technical support for the subsequent GO diagram analysis and calculation. |
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