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 noDescriptionUnit

XMEAS1Feed (stream 1)Kscmh
XMEAS2D feed (stream 2)kg/hr
XMEAS3E feed (stream 3)kg/hr
XMEAS4A and C feed (stream 4)Kscmh
XMEAS5Recycle flow (stream 8)Kscmh
XMEAS6Reactor feed rate (stream 6)Kscmh
XMEAS7Reactor pressureKpa gauge
XMEAS8Reactor level%
XMEAS9Reactor temperature°C
XMEAS10Purge rate (stream 9)Kscmh
XMEAS11Product separator temperature°C
XMEAS12Product separator level%
XMEAS13Product separator pressureKpa/gauge
XMEAS14Product separator underflow (stream 10)m3/hr
XMEAS15Stripper level%
XMEAS16Stripper pressureKpa gauge
XMEAS17Stripper underflow (stream 11)m3/hr
XMEAS18Stripper temperature°C
XMEAS19Stripper steam flowkg/hr
XMEAS20Compressor workkw
XMEAS21Reactor cooling water outlet temperature°C
XMEAS22Separator cooling water outlet temperature°C