Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Diancai Yang"'
Publikováno v:
Fuel. 276:118095
Pyrolysis has been a major method to dispose the problem of scrap tires and it is gaining enormous attention all over the world. But less is known about its comprehensive transformation behavior of pyrolysis products. Experiments on pyrolysis of scra
Publikováno v:
IFAC Proceedings Volumes. 41:9679-9684
A novel online identification method is developed for nonlinear multi-input multi-output process modeling issue, which is based on kernel learning framework and named as online kernel learning (OKL) algorithm in this paper. This proposed approach can
Publikováno v:
2013 25th Chinese Control and Decision Conference (CCDC).
There are more product specifications, great production and much equipment over the whole process of tire building. The actual complex scheduling problem of tire building is described in detail. To solve the complex multi-objective, large-scale produ
Publikováno v:
2012 24th Chinese Control and Decision Conference (CCDC).
In the process of tire production, vulcanization process is the last process and core process in the total production. The vulcanization process becomes the main bottleneck of the whole tire production process because of the process's long manufactur
Publikováno v:
2011 Chinese Control and Decision Conference (CCDC).
There are more product specifications, great production and much equipment over the whole process of rubber tire vulcanization. Aiming at rubber tire vulcanization production scheduling single-process, parallel machines scheduling problem with specia
Publikováno v:
2010 IEEE International Conference on Advanced Management Science(ICAMS 2010).
A RFID application framework is presented for gathering production data and tracing the quality problem in tire manufacturing enterprises. In this framework, a RFID hardware installation rule and a operation process of RFID application are proposed.
Publikováno v:
CDC
Mooney viscosity is an important while difficult-to-measure quality index with a long-term laboratory assay in nowadays internal rubber mixing processes. In this study, an adaptive kernel learning (AKL) algorithm suitable for nonlinear multi-input-mu
Publikováno v:
SMC (6)
The principal component analysis (PCA) is a kind of data-driven modeling method that has wide applications in the field of industrial process monitoring and product quality control. However, it was shown that some faults can only be detected in the p
Publikováno v:
SMC (7)
Principal component analysis (PCA) finds wide applications in process monitoring and product quality control. The objectives of this part of the two-part paper are (i) development of fault identification method based on the fault reconstruction resul
Publikováno v:
2012 24th Chinese Control & Decision Conference (CCDC); 1/ 1/2012, p2661-2666, 6p