The Batch Process Fault Monitoring Using Adversarial Auto-encoder and K-Nearest Neighbor Rule
2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS)(2021)
摘要
In the industrial batch process monitoring domain, the conventional multivariate monitoring methods may not always function well in monitoring faults that have both Non-Linear and Non-Gaussian properties. To enhance the monitoring capability, the adversarial auto-encoder (AAE) was introduced to increase the sensitivity to Non-Gaussian anomalies by projecting non-Gaussian information into a given G...
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关键词
Process monitoring,Sensitivity,Simulation,Batch production systems,Gaussian distribution,Feature extraction,Time measurement
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