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)

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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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