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| Content Provider | IET Digital Library |
|---|---|
| Author | Cheng, Yinbao Fu, Huadong Lyu, Jing Wang, Zhongyu Li, Hongli Chen, Xiaohuai |
| Abstract | The new generation Geometrical Product Specifications require consideration of the effects of measurement uncertainty in the product inspection. This study estimated the measurement results and the uncertainty by integrating the statistical production information into the product detection results to rationally and fairly narrow the uncertainty area of qualification determination. Based on the Bayesian information fusion and statistical inference principle, the model of uncertainty evaluation is established. The Bayesian information fusion model integrated measuring information with manufacturing information was built, with which the uncertainty of product inspection was reappraised based on posteriori distribution function. The validity of the proposed method and theory was demonstrated by the example analysis. |
| Starting Page | 9178 |
| Ending Page | 9182 |
| Page Count | 5 |
| Volume Number | 2019 |
| e-ISSN | 20513305 |
| Issue Number | Issue 23, Dec (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2019/23 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9213 |
| Journal | The Journal of Engineering |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2019-03-25 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
| Subject Keyword | Bayes Method Bayesian Fusion Method Bayesian Information Fusion Model Data Handling Technique Generation Geometrical Product Specifications Industrial Application of IT Inference Mechanisms Inspection Inspection And Quality Control Knowledge Engineering Technique Measurement Uncertainty Optimisation Estimation Posteriori Distribution Function Product Detection Result Product Inspection Production Engineering Computing Sensor Fusion Statistical Analysis Statistical Inference Principle Statistical Production Information Statistics Uncertainty Evaluation |
| Content Type | Text |
| Resource Type | Article |
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