Back to Search
Start Over
Research on Intelligent Optimization Method of Multidimensional Process Quality Parameters
- Source :
- 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC).
- Publication Year :
- 2019
- Publisher :
- IEEE, 2019.
-
Abstract
- The intelligent optimization of multidimensional process quality parameters are of great significance for improving the process quality and intelligence of manufacturing process. Manufacturing process is complex with numerous parameters. In view of the coupling, nonlinear and uncertainty of multidimensional process quality parameters, this paper uses ensemble learning method to build the parameter mapping model which on behalf of the non-linear mapping relationship between the multidimensional process quality parameters and process quality. The objective function is constructed and the intelligent optimization of multidimensional process quality parameters in manufacturing process is realized by using firefly optimization algorithm. Taking the gluing process as an example, the accuracy of the multidimensional process quality parameter mapping model and the effectiveness of the optimization method are verified, which provide support for improving the process quality and intelligent manufacturing process.
- Subjects :
- Process quality
0209 industrial biotechnology
Process (engineering)
Manufacturing process
Computer science
Firefly optimization
02 engineering and technology
01 natural sciences
Ensemble learning
Industrial engineering
010309 optics
Nonlinear system
020901 industrial engineering & automation
Coupling (computer programming)
0103 physical sciences
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)
- Accession number :
- edsair.doi...........506bc165a1ae45488d12db42eeaab347