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An Effective Soft-Sensor Method Based on Belief-Rule-Base and Differential Evolution for Tipping Paper Permeability Measurement
- Source :
- Complexity, Vol 2018 (2018)
- Publication Year :
- 2018
- Publisher :
- Hindawi, 2018.
-
Abstract
- The current paper presents a soft-sensor method based on belief-rule-base (BRB) system for solving the problem of tipping paper permeability measurement in the tobacco industry. Firstly, BRB is utilized to establish a model between the feature variables in the tipping paper image and the corresponding paper permeability obtained by the traditional measuring device. Unlike the traditional case of BRB, this paper adds the output attribute as the optimization parameters. In this way, the feasible solution space can be enlarged to obtain an effective BRB model. Second, in order to find the reasonable parameters of BRB in a complex nonconvex solution space, an enhanced differential evolutionary (DE) algorithm is developed to train BRB, which not only embeds a simplex method to stress the balance between the global and local search but also designs a perturbation operation and an adaptively selected mutation strategy to maintain the diversity of search direction. The test results and comparisons based on the data collected from a cigarette factory in China show that the presented method is effective and robust.
- Subjects :
- 0209 industrial biotechnology
Mathematical optimization
Multidisciplinary
General Computer Science
Article Subject
Computer science
02 engineering and technology
Soft sensor
lcsh:QA75.5-76.95
Image (mathematics)
020901 industrial engineering & automation
Simplex algorithm
Feature (computer vision)
Permeability (electromagnetism)
Differential evolution
0202 electrical engineering, electronic engineering, information engineering
Factory (object-oriented programming)
020201 artificial intelligence & image processing
lcsh:Electronic computers. Computer science
Differential (infinitesimal)
Subjects
Details
- Language :
- English
- ISSN :
- 10762787
- Database :
- OpenAIRE
- Journal :
- Complexity
- Accession number :
- edsair.doi.dedup.....068fb9c30dfcb60e94d9347aee2d36ca
- Full Text :
- https://doi.org/10.1155/2018/4378701