Research Article
Study on Support Vector Machine-Based Fault Detection in Tennessee Eastman Process
Table 4
Results of faults detection using PLS algorithm.
| Fault
| FDR (%) | | |
| IDV1 | 99.37 | 99.62 | IDV2 | 98.75 | 98.12 | IDV4 | 0.63 | 97.25 | IDV5 | 16.65 | 30.04 | IDV6 | 99 | 100 | IDV7 | 29.16 | 100 | IDV8 | 89.86 | 96.87 | IDV10 | 18.15 | 43.55 | IDV11 | 2.63 | 68.84 | IDV12 | 76.85 | 98.37 | IDV13 | 92.62 | 94.99 | IDV14 | 2.25 | 100 | IDV16 | 9.39 | 29.41 | IDV17 | 4.88 | 91.74 | IDV18 | 87.48 | 89.86 | IDV19 | 0.38 | 15.14 | IDV20 | 18.4 | 50.44 |
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