A Multidimensional Data Flow Driven-Based Quality Fluctuation Evaluation for Manufacturing Process. (8th April 2021)

• Record Type: Journal Article
• Authors: Hu, Sheng; Dong, Bochao
• Other Names: Pozo Francesc Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2021(2021)
• Publication Date: 2021-04-08
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2021/5514056
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : Real-time evaluation quality fluctuation is an important way to ensure product quality in manufacturing process. This study proposes a multidimensional data flow driven-based quality fluctuation evaluation. Firstly, the multidimensional decomposition and transition mode analysis is carried out to reveal the essence of quality fluctuation. Then, the technique uses hierarchical network architecture to model the process, and quality fluctuation network is built to track fluctuation evolution trend; then, the node relative entropy measure is defined to statistically analyze the change of net-node state fluctuation. Finally, a case study is used to verify the proposed quality fluctuation evaluation approach.