Research Article
Fault Diagnosis and Prediction of Continuous Industrial Processes Based on Hidden Markov Model-Bayesian Network Hybrid Model
Table 1
Description of continuous process variables of TE process.
| Variable no | Description | Unit |
| XMEAS1 | Feed (stream 1) | Kscmh | XMEAS2 | D feed (stream 2) | kg/hr | XMEAS3 | E feed (stream 3) | kg/hr | XMEAS4 | A and C feed (stream 4) | Kscmh | XMEAS5 | Recycle flow (stream 8) | Kscmh | XMEAS6 | Reactor feed rate (stream 6) | Kscmh | XMEAS7 | Reactor pressure | Kpa gauge | XMEAS8 | Reactor level | % | XMEAS9 | Reactor temperature | °C | XMEAS10 | Purge rate (stream 9) | Kscmh | XMEAS11 | Product separator temperature | °C | XMEAS12 | Product separator level | % | XMEAS13 | Product separator pressure | Kpa/gauge | XMEAS14 | Product separator underflow (stream 10) | m3/hr | XMEAS15 | Stripper level | % | XMEAS16 | Stripper pressure | Kpa gauge | XMEAS17 | Stripper underflow (stream 11) | m3/hr | XMEAS18 | Stripper temperature | °C | XMEAS19 | Stripper steam flow | kg/hr | XMEAS20 | Compressor work | kw | XMEAS21 | Reactor cooling water outlet temperature | °C | XMEAS22 | Separator cooling water outlet temperature | °C |
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