A Framework of Cloud Model Similarity-Based Quality Control Method in Data-Driven Production Process
Joint Authors
Song, Shuanjun
Hu, Sheng
Liu, Wenhui
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-05-18
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Considering the problem that the process quality state is difficult to analyze and monitor under manufacturing big data, this paper proposed a data cloud model similarity-based quality fluctuation monitoring method in data-driven production process.
Firstly, the randomness of state fluctuation is characterized by entropy and hyperentropy features.
Then, the cloud pool drive model between quality fluctuation monitoring parameters is built.
On this basis, cloud model similarity degree from the perspective of maximum fluctuation border is defined and calculated to realize the process state analysis and monitoring.
Finally, the experiment is conducted to verify the adaptability and performance of the cloud model similarity-based quality control approach, and the results indicate that the proposed approach is a feasible and acceptable method to solve the process fluctuation monitoring and quality stability analysis in the production process.
American Psychological Association (APA)
Hu, Sheng& Song, Shuanjun& Liu, Wenhui. 2020. A Framework of Cloud Model Similarity-Based Quality Control Method in Data-Driven Production Process. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1197672
Modern Language Association (MLA)
Hu, Sheng…[et al.]. A Framework of Cloud Model Similarity-Based Quality Control Method in Data-Driven Production Process. Mathematical Problems in Engineering No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1197672
American Medical Association (AMA)
Hu, Sheng& Song, Shuanjun& Liu, Wenhui. A Framework of Cloud Model Similarity-Based Quality Control Method in Data-Driven Production Process. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1197672
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1197672