Research on the Application of Chemical Process Fault Diagnosis Methods Based on Neural Network

被引:0
|
作者
Wei, Kongpeng [1 ]
Gu, Hongbin [2 ]
Li, Xiaolong [2 ]
Liu, Bo [2 ]
机构
[1] Panjin Vocat & Tech Coll, Sci Technol & Planning Div, Panjin, Liaoning, Peoples R China
[2] Panjin Vocat & Tech Coll, Informat & Network Ctr, Panjin, Liaoning, Peoples R China
关键词
Neural Networks; Chemical Process Diagnostics; Tennessee Eastman Chemical Processes;
D O I
10.1145/3673277.3673314
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the continuous development and progress of the industrial generation level, the relationship between the nodes in the chemical process, manufacturing process and other industrial processes is becoming more and more complex, and the chances of failures are increasing, people are paying more and more attention to the safe production and reliable and smooth operation of the chemical process. To address this issue, fault detection and diagnosis are performed by different neural network algorithms on different Tennessee Eastman chemical process datasets, and the prediction accuracy of these algorithms on different datasets is compared.
引用
收藏
页码:209 / 213
页数:5
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