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LOCAL LINEAR AND NON-LINEAR MULTI-WAY PARTIAL LEAST SQUARES BATCH MODELLING

机译:局部线性和非线性多向部分最小二乘批量建模

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An industrial fed-batch fermentation process forms the basis of a study that illustrates the development and use of local models for the construction of a performance monitoring scheme. Linear models are initially built for different operating regions within the batch using Dynamic Partial Least Squares (DPLS) to capture the underlying process dynamics. The local models are then pieced together and a global model developed based on the latent variable scores. A comparison with a global non-linear quadratic DPLS model is then made prior to using the latent variable scores from the local models to build a nominal process representation.
机译:工业喂养批量发酵过程构成了一种研究的基础,说明了局部模型的开发和使用用于建造性能监测方案。最初使用动态部分最小二乘(DPLS)在批处理内的不同操作区域构建线性模型,以捕获底层过程动态。然后将本地模型拼凑在一起,并且基于潜在变量分数开发的全局模型。然后在使用来自本地模型的潜在变量分数之前与全局非线性二次DPLS模型进行比较,以构建标称过程表示​​。

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