控制理论与应用Issue(6)：813-821,9.DOI:10.7641/CTA.2018.70521
基于扩展核熵负载矩阵的发酵过程故障监测
Fault monitoring of fermentation process based on extended kernel entropy load matrix
摘要
Abstract
Hard classification for multistage fermentation process and cause of the defects of false alarm and alarm failure, in order to effectively reduce the omission and the rate of false positives, this paper proposes a strategy based on extended nuclear entropy load matrix. First, the three-mention training data array of fermentation process is unfolded in batch ways, resulting in two-dimension forms. Then, kernel entropy component analysis (KECA) was done for each time slice matrix to obtain its load matrix. After that, time slice matrix was added to the nuclear load matrix of entropy, and the change of the nuclear load matrix of entropy was utilized to describe the changes of batch processes.The KECA monitoring model was established at each stage of the division after the stage of nuclear load matrix of entropy was determined by FCM algorithm. At last, the effectiveness and utility of the proposed method were validated through the simulation of fed-batch penicillin and E. coli production of interleukin-2. Results showed, the proposed method could not only divide the stage and reduce the false alarm precisely, but also detect the production difficulty more advance.关键词
过程监测/主元分析/多阶段/发酵过程Key words
process monitoring/principal component analysis/multistage/fermentation process分类
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高学金,杨彦霞,王普,李晓理,常鹏,齐咏生..基于扩展核熵负载矩阵的发酵过程故障监测[J].控制理论与应用,2018,(6):813-821,9.基金项目
国家自然科学基金项目(61640312, 61473034, 61673053, 61174109),北京市自然科学基金项目(4172007),北京科技新星计划交叉学科合作项目(Z161100004916041)资助. Supported by the National Natural Science Foundation of China (61174109, 61640312, 61473034, 61673053), the Beijing Natural Science Founda-tion (4172007) and the Beijing Science and Technology Nova Programs Interdisciplinary Projects (Z161100004916041). （61640312, 61473034, 61673053, 61174109）
