This paper presents monitoring and fault diagnosis of a PVC batch process using multi way principal component analysis (MPCA).
将多方向主元分析（MPCA）理论应用到一个实际的PVC间歇反应过程的性能监测与故障诊断中。
Multi-model MPCA is developed in this paper, the model structure of this method and application on batch process monitoring and fault diagnosis is discussed.
针对普通MPCA方法的优缺点提出一种多模型结构的MPCA方法，讨论了该方法的模型结构以及现场故障监测与诊断的分析过程。
Several pattern recognition algorithm is introduced, including PCA, MPCA, LLE etc.
说明：多种模式识别算法的介绍，包括PCA,MPCA,LLE等。
Then is the research of the collection and construction of the history data set. Data is the foundation of the MPCA.
接下来对历史数据的收集进行研究，数据收集是进行过程能力分析的基础和前提。
Then is the research of the collection and construction of the history data set. Data is the foundation of the MPCA.
接下来对历史数据的收集进行研究，数据收集是进行过程能力分析的基础和前提。
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