A chemical process fault detection method based on sparse filtering feature learning

被引：0
|
作者：
Jiang, Sheng [1 ]
Kuang, Tianliang [1 ]
Li, Xiuxi [1 ]
机构：
[1] School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou,Guangdong,510640, China
来源：
Huagong Xuebao/CIESC Journal | 2019年 / 70卷 / 12期
关键词：
D O I：
10.11949/0438-1157.20190894
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：4698 / 4709
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