Knowledge Commons of Institute of Automation,CAS
Improved Weighted PLS for Quality-Relevant Fault Monitoring Based on Inner Matrix Similarity | |
Bai, Xiwei1,2![]() ![]() ![]() ![]() | |
2018 | |
会议名称 | 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics |
会议日期 | July 9-12, 2018 |
会议地点 | Auckland, New Zealand |
摘要 | Monitoring the influence of fault towards the product quality is of great importance to modern manufacturing enterprise. Traditional projection to latent structures (PLS) method as well as its variants still face many problems. In this paper, a new improved weighted PLS (IWPLS) is proposed to utilize the local information of the process data, handle noises and build regression models with better generalization capability. The objective function of IWPLS is weighted through calculating the similarity between the target inner matrix (IM) and the other inner matrices (IMs). Two types of weight matrices are given for different process data set. The IWPLS-based monitoring scheme is developed with additional restrains and decomposition operation. A designed numerical experiments and Tennessee Eastman Process (TEP) are employed to evaluate the validity of the proposed method. |
收录类别 | EI |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/39263 |
专题 | 中科院工业视觉智能装备工程实验室_工业智能技术与系统 |
通讯作者 | Tan, Jie |
作者单位 | 1.Institute of Automation, Chinese Academy of Sciences 2.University of Chinese Academy of Sciences 3.Zhejiang Tianneng Energy Technology Co., Ltd. |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Bai, Xiwei,Wang, Xuelei,Tan, Jie,et al. Improved Weighted PLS for Quality-Relevant Fault Monitoring Based on Inner Matrix Similarity[C],2018. |
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