Modified <i>t</i>-Distribution Stochastic Neighbor Embedding Using Augmented Kernel Mahalanobis-Distance for Dynamic Multimode Chemical Process Monitoring

<div>MTEP mode 1 IDV (3) fault detection results of different methods: (a) DLLE-SVDD, (b) t-SNE-SVDD, (c) M-t-SNE-SVDD, and (d) AKMD-t-SNE-SVDD.</div>

International Journal of Chemical Engineering

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Figure 9

Figure 9: Modified <i>t</i>-Distribution Stochastic Neighbor Embedding Using Augmented Kernel Mahalanobis-Distance for Dynamic Multimode Chemical Process Monitoring 

Figure 9 | Modified t-Distribution Stochastic Neighbor Embedding Using Augmented Kernel Mahalanobis-Distance for Dynamic Multimode Chemical Process Monitoring 