Manifold-Preserving Sparse Graph and Deviation Information Based Fisher Discriminant Analysis for Industrial Fault Classification Considering Label-Noise and Unobserved Faults

Fault classification is one of the most important topics in the area of industrial process monitoring. Existing industrial fault classification models based on Fisher Discriminant Analysis (FDA) and its variants still fail to cope with the issues of label-noise and unobserved faults simultaneously. To fill this important gap, a novel Manifold-preserving sparse graph and Deviation information based...