Open AccessMisjudgement probability estimation of product inspection based on uncertainty
Author(s) -
Fu Huadong,
Cheng Yinbao,
Wang Zhongyu,
Li Hongli,
Chen Xiaohuai,
Lyu Jing
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.9193
Subject(s) - measurement uncertainty , computer science , reliability engineering , uncertainty analysis , product (mathematics) , bayesian probability , data mining , repeatability , quality (philosophy) , process (computing) , statistics , mathematics , artificial intelligence , engineering , simulation , philosophy , geometry , epistemology , operating system
The product inspection process with measurement uncertainty as a quality indicator is researched. Based on the product quality control information and the design and processing precision, the relationship between the misjudgement probability and measurement uncertainty of conformance testing is established. In view of the limitation of uncertainty evaluation based on the single piece in product inspection, the method for evaluating uncertainty fusing multiple product measurement information in a fully integrated batch is proposed. The uncertainty components caused by the measurement repeatability and reproducibility of the whole test work are evaluated based on the conjugate Bayesian estimation method. The test results show that there is a certain false positive rate in the whole test of the product under the condition of uncertainty. Research results show that the misjudgement probability caused by the measurement uncertainty cannot be ignored. In the product test, batch detection information should be fully integrated to improve the representation of uncertainty evaluation results.