| Application of on-line corrective model based on sliding window of RPLS for quality control process of rubber mixing |
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| DOI： |
| Key Words: rubber mixing；recursive partial least squares；sliding window；model simulation |
| Author Name | Affiliation | | CHEN Ke-juan | South China University of Technology | | LIU Lin-tao | South China University of Technology |
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| Abstract: |
| On the basis of traditional partial least squares (PLS) modeling，the sliding window method and recursive partial least squares (RPLS)，which adaptively adjusted the structure and para meters of PLS model for mixing according to on-line data，were used to build RPLS on-line renewal model for the quality control of rubber mixing.It was verified with experimental data that the model could adaptively track the variation of mixing process，with the predictive error ±3 of Mooney viscosity，which met production requirement. |
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