A clustering hyperrectangle model based on kernel density estimation for product quality detection-Reference-Cited by-同舟云学术

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A clustering hyperrectangle model based on kernel density estimation for product quality detection

Published:2022-03-24 Issue:5 Volume:38 Page:2769-2780
ISSN:0748-8017
Container-title:Quality and Reliability Engineering International
language:en
Short-container-title:Quality & Reliability Eng

Author:

Lu Shaowu¹²^ORCID,Xie Hao¹,Tang Xiaoqi³²

Affiliation:

1. Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education Wuhan University of Science and Technology Wuhan China

2. Guangdong Samsun Technology Co., Ltd Dongguan China

3. School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Management Science and Operations Research,Safety, Risk, Reliability and Quality

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/qre.3103

Reference22 articles.

1. Some Current Directions in the Theory and Application of Statistical Process Monitoring

2. An Evaluation of a GLR Control Chart for Monitoring the Process Mean

3. A New Cumulative Sum Quality Control Scheme for Monitoring the Process Mean

4. Applying Control Chart Methods to Enhance Data Quality

5. Directional Control Schemes for Multivariate Categorical Processes

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. TSI-based hierarchical clustering method and regular-hypersphere model for product quality detection;Computers & Industrial Engineering;2023-03

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