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Abstract
The aim of the article is presentation of the testing methodology and results of examination the probabilistic model of the measurement process. The case study concerns the determination of the risk of an incorrect decision in the assessment of the compliance of products by measurement. Measurand is characterized by the generalized Rayleigh distribution. The model of the meas-urement process was tested in parallel mode by six risk metrics. An undesirable effect in the re-construction building block of the model was detected, consisting in the distortion of probability distribution at the edges of the measuring range. The paper gives guidelines on how to use the model, to obtain the analytical risk assessment consistent with the results of the Monte Carlo method. The study can be useful in product quality control, test design, and fault diagnosis.
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- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
SENSORS
no. 21,
ISSN: 1424-8220 - Language:
- English
- Publication year:
- 2021
- Bibliographic description:
- Toczek W., Smulko J.: Risk Analysis by a Probabilistic Model of the Measurement Process// SENSORS -Vol. 21,iss. 6 (2021), s.2053-
- DOI:
- Digital Object Identifier (open in new tab) 10.3390/s21062053
- Verified by:
- Gdańsk University of Technology
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