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Two-parameters sampling on the base of measurements of Rayleigh distributed parts dimensions
https://doi.org/10.32446/0368-1025it.2022-9-24-32
Abstract
In the article, the methods of technological processes monitoring in the modern machine-building manufacturing are observed. The task of constructing the procedures of measurement (variable) inspection for the lots with two-parameter generalization of Rayleigh distribution of quality characteristic is set and solved. The test statistics distributions have been explored. The sufficiently accurate computational procedures for the distribution functions evaluation are described. The operating characteristics of two-parameter sampling plan and the previously constructed one-parameter plan are compared. It is shown that the same features are provided under comparable conditions with only a slight increase of the sample size. The results are applicable in acceptance sampling of lots of parts with external and internal cylindrical surfaces.
Keywords
measurement inspection,
sampling,
sampling plan,
statistical methods of quality management,
Rayleigh distribution,
statistical process control
Supporting agencies: This work was supported financially by the Ministry of Science and Higher Education of the Russian Federation (project no. FSFS-2021-0003).
About the Authors
S. N. Grigoriev
Moscow State University of Technology “STANKIN”
Russian Federation
Russian Federation
Sergey N. Grigoriev
Moscow
P. N. Emelianov
Moscow State University of Technology “STANKIN”
Russian Federation
Russian Federation
Petr N. Emelianov
Moscow
D. A. Masterenko
Moscow State University of Technology “STANKIN”
Russian Federation
Russian Federation
Dmitry A. Masterenko
Moscow
S. E. Ped
Moscow State University of Technology “STANKIN”
Russian Federation
Russian Federation
Sergey E. Ped
Moscow
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Review
For citations:
Grigoriev S.N., Emelianov P.N., Masterenko D.A., Ped S.E. Two-parameters sampling on the base of measurements of Rayleigh distributed parts dimensions. Izmeritel`naya Tekhnika. 2022;(9):24-32. (In Russ.) https://doi.org/10.32446/0368-1025it.2022-9-24-32
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