Research Article

A Fault Prediction and Cause Identification Approach in Complex Industrial Processes Based on Deep Learning

Table 1

Process measurements.

VariablesDescriptionUnits

XMEAS(l)A feed (stream 1)kscmh
XMEAS(2)D feed (stream 2)kg/hr
XMEAS(3)E feed (stream 3)kg/hr
XMEAS(4)Total feed (stream 4)Kscmh
XMEAS(5)Recycle flow (stream 8)Kscmh
XMEAS(6)Reactor feed rate (stream 6)Kscmh
XMEAS(7)Reactor pressurekPa gauge
XMEAS(8)A feed (stream 1)%
XMEAS(9)Reactor temperatureDeg C
XMEAS(l0)Purge rate (stream 9)Kscmh
XMEAS(l1)Product Sep tempDeg C
XMEAS(l2)Product Sep level%
XMEAS(l3)Prod Sep pressurekPa gauge
XMEAS(l4)Prod Sep underflow (stream 10)
XMEAS(l5)Stripper level%
XMEAS(l6)Stripper pressurekPa gauge
XMEAS(l7)Stripper underflow (stream 11)
XMEAS(l8)Stripper temperatureDeg C
XMEAS(l9)Stripper steam flowkg/hr
XMEAS(20)Compressor workkW
XMEAS(2l)Reactor cooling water outlet TempDeg C
XMEAS(22)Separator cooling water outlet tempDeg C