Research Article
Subspace Method Aided Data-Driven Fault Detection Based on Principal Component Analysis
| Variable number | Process variable | Type |
| IDV(0) | Normal operation | Step | IDV(1) | feed ratio, composition constant | Step | IDV(2) | composition, ratio constant | Step | IDV(3) | feed temperature | Step | IDV(4) | Reactor cooling water inlet temperature | Step | IDV(5) | Condenser cooling water inlet temperature | Step | IDV(6) | feed loss | Step | IDV(7) | header pressure loss-reduced availability | Step | IDV(8) | feed composition | Random variation | IDV(9) | feed temperature | Random variation | IDV(10) | feed temperature | Random variation | IDV(11) | Reactor cooling water inlet temperature | Random variation | IDV(12) | Condenser cooling water inlet temperature | Random variation | IDV(13) | Reaction kinetics | Random variation | 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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