Research Article
Multimode Process Monitoring Based on Sparse Principal Component Selection and Bayesian Inference-Based Probability
Table 2
Process faults for the multimode TE process.
| | Faults number | Disturbance state | Type |
| | IDV(1) | A/C feed ratio, B composition constant (Stream 4) | Step | | IDV(2) | B composition, A/C ratio constant (Stream 4) | Step | | IDV(3) | D feed temperature (Stream 2) | Step | | IDV(4) | Reactor cooling water inlet temperature | Step | | IDV(5) | Condenser cooling water inlet temperature | Step | | IDV(6) | A feed loss (Stream 1) | Step | | IDV(7) | C header pressure loss reduced availability (Stream 4) | Step | | IDV(8) | A, B, and C feed composition (Stream 4) | Random variation | | IDV(9) | D feed temperature (Stream 2) | Random variation | | IDV(10) | C feed temperature (Stream 4) | Random variation | | IDV(11) | Reactor cooling water inlet temperature | Random variation | | IDV(12) | Condenser cooling water inlet temperature | Random variation | | IDV(13) | Reaction kinetics | Slow drift | | IDV(14) | Reactor cooling water valve | Sticking | | IDV(15) | Condenser cooling water valve | Sticking | | IDV(16) | Unknown | Unknown | | IDV(17) | Unknown | Unknown | | IDV(18) | Unknown | Unknown | | IDV(19) | Unknown | Unknown | | IDV(20) | Unknown | Unknown |
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