| 基于滑动窗的RPLS在线校正模型在橡胶混炼质量控制过程中的应用 |
| Application of on-line corrective model based on sliding window of RPLS for quality control process of rubber mixing |
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| DOI： |
| 中文关键词: 橡胶混炼 递推偏最小二乘法 滑动窗 模型仿真 |
| 英文关键词: rubber mixing recursive partial least squares sliding window model simulation |
| 基金项目:广东省高校成果转化项目（B02N9080100） |
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| 中文摘要: |
| 在传统偏最小二乘法（PLS）建模的基础上，采用滑动窗方法，用递推偏最小二乘法（RPLS）根据在线数据自适应调整PLS混炼模型的结构和参数，建立橡胶混炼质量控制的RPLS在线校正模型。仿真与试验结果显示，该模型能自适应跟踪混炼的过程变化，门尼粘度预测误差为±3，符合生产要求。 |
| 英文摘要: |
| 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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