修正的潜在结构正交投影的过程监控  

Process monitoring based on modified orthogonalprojections to latent structures

作　　者：王璇 王衍学 Wang Xuan;Wang Yanxue(Beijing University of Civil Engineering and Architecture,Beijing 100044,China)

机构地区：[1]北京建筑大学,北京100044

出　　处：《电子测量与仪器学报》2021年第7期90-97,共8页Journal of Electronic Measurement and Instrumentation

基　　金：国家自然科学基金(51875032);北京建筑大学2021年度研究生创新项目资助。

摘　　要：近年来,质量相关的故障诊断受到学界的广泛关注。目前存在多种基于后处理的故障诊断算法,但是,进一步的研究发现,当质量无关的故障幅度增强时,这些后处理算法会逐渐失去功能,除此之外,后处理算法在实践中会产生很大的计算量。为了进一步解决上述算法的弊端,采取一种预处理、建模、后处理的结构,并提出修正的潜在结构正交投影算法。对比之前的算法,该方法对质量相关的故障更具实用性,同时减少了模型所需潜在变量的数目,与之前算法相比,计算量更低,数值示例和田纳西-伊士曼过程用来验证该方法的有效性。In recent years, quality-related fault diagnosis has attracted much attention from academic circles. Several fault diagnosis algorithms based on post-processing have been developed. However, further studies have found that these post-processing methods will gradually lose their function when the magnitude of quality-unrelated faults increases. In addition, post-processing algorithms will generate a lot of calculations in practice. In order to further solve the drawbacks of the above methods, this paper adopts a structure of preprocessing, modeling, and postprocessing. And proposed a modified orthogonal projection to latent structures(MOPLS). Compared with the previous algorithm, this method is more practical for quality-related faults. At the same time, the number of latent variables required by the model is reduced. Therefore, its computational complexity is lower than the previous algorithm. Numerical examples and Tennessee-Eastman(TE) process are used to verify the effectiveness of the method.

关 键 词：数据驱动 过程监控 数据预处理 质量相关故障检测 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]