Novel Discriminant Locality Preserving Projections based on improved Synthetic Minority Oversampling with Application to Fault Diagnosis
2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS)(2021)
Abstract
Nowadays, chemical processes are becoming more complex, and so the safety requirement is getting higher and higher. Intelligent and effective fault detection and diagnosis are becoming more and more important. However, complex industrial systems generate high-dimensional data, which has bad influence on fault detection and diagnosis. Thus, it is necessary to handle industrial data with high dimens...
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Key words
Fault diagnosis,Dimensionality reduction,Learning systems,Simulation,Fault detection,Process control,Control systems
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