化工学报Issue(8)：3071-3081,11.DOI:10.3969/j.issn.0438-1157.2014.08.031
基于局部密度估计的多模态过程故障检测
Multimode process monitoring based on local density estimation
摘要
Abstract
Multiple operating modes and complex data distributions are common in modern industrial processes, so the process variable does not completely obey Gaussian distribution, and its mean and covariance structure tend to change with the switching of working conditions. In order to detect various faults in such production process timely, a novel online monitoring strategy based on locality preserving projection (LPP) and local density estimation with variable bandwidth is proposed. Firstly, LPP is introduced for feature extraction and dimension reduction, and then a variable bandwidth kernel density estimate function is adopted to compute every sample’s local density factor, which is used as a monitoring statistic value. Finally, the results of numerical examples and TE chemical process simulation experiment validate the effectiveness and utility of the proposed method for the fault detection of multi-mode processes.关键词
多模态过程系统/局部投影保留算法/带宽优化/局部密度因子/监控模型/仿真实验Key words
multi-mode process systems/locality preserving projection algorithm/bandwidth optimization/local density factor/monitoring model/simulation experiment分类
信息技术与安全科学引用本文复制引用
刘帮莉,马玉鑫,侍洪波..基于局部密度估计的多模态过程故障检测[J].化工学报,2014,(8):3071-3081,11.基金项目
国家自然科学基金项目（61374140）；上海浦江计划项目（12PJ1402200）。@@@@supported by the National Natural Science Foundation of China (61374140) and Shanghai Pujiang Program (12PJ1402200) （61374140）
