摘要 : Deep neural network (DNN) extracts hierarchical representations from process data and is promising for nonlinear process monitoring. Obtaining meaningful representations and generating efficient fault detection residual are the ma... 展开
作者 | Jiang~ Qingchao Yan~ Xuefeng |
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作者单位 | |
期刊名称 | 《IEEE transactions on industrial informatics》 |
页码/总页数 | 6200-6209 / 10 |
语种/中图分类号 | 英语 / TN |
关键词 | Monitoring Feature extraction Optimization Correlation Fault detection Data mining Kernel Canonical correlation analysis (CCA) deep neural network (DNN) multiobjective evolutionary optimization (MEO) nonlinear process monitoring |
DOI | 10.1109/TII.2018.2886048 |
馆藏号 | IELEP0131 |