NAU Harvester System
FORMATION OF THE RULE DECISION-MAKING ABOUT SUITABILITY PRODUCTS ON THE BASIS OF THE ADAPTIVE ALGORITHM
Репозитарій Національного Авіаційного Університету
View Archive Info| Field | Value | |
| Title |
FORMATION OF THE RULE DECISION-MAKING ABOUT SUITABILITY PRODUCTS ON THE BASIS OF THE ADAPTIVE ALGORITHM
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| Creator |
Кошева, Лариса Олександрівна
Володарський, Євген Трофимович Клєвцова, Марина Олександрівна |
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| Subject |
сonformity assessment
an uncertainty of measurement adaptive successive algorithm probability decision making |
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| Description |
It is shown that the results of the evaluation of the object of inspection parameters are inevitably associated with uncertainty due to imperfections in this procedure, equipment and the influence of external random factors. Reduction of this influence is especially important within certain limits around the limits of the tolerance interval while reducing the number of additional measurements. Therefore, the decisive rule on the suitability or unsuitability of the inspection object should take into account both the possible uncertainty of the result and the requirements for the cost and complexity of the verification procedure, as well as the specified reliability. It is shown that the application of the algorithm makes it possible to increase the probability of making the correct decision about compliance for each object under test and, in comparison with known methods, does not significantly affect the decrease in productivity and increase the cost price of the product. The practical use of the algorithm showed that 5 additional stages of the study make it possible to reduce the probability of false decisions by at least 3 times, while the increase in control operations does not exceed 60%. |
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| Date |
2021-02-25T09:36:09Z
2021-02-25T09:36:09Z 2017-09-10 |
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| Identifier |
https://er.nau.edu.ua/handle/NAU/47868
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| Language |
en
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| Format |
application/pdf
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| Publisher |
Proceedings of 28th International scientific symposium «Metrolo-gy and metrology as-surance 2018».
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