Research Article

Development of a Novel Soft Sensor with Long Short-Term Memory Network and Normalized Mutual Information Feature Selection

Table 3

Candidate input variables of flue gas desulfurization system.

VariableDescriptionUnit

1Generator powerkW
2#9 furnace original flue gas SO2mg/m3
3#9-1 absorption tower export flue gas SO2mg/m3
4#9 absorption tower gypsum slurry pH
5Limestone slurry to #9 absorption tower streamm³/h
6#9-2 absorption tower pH 1
7#9-2 absorption tower feed flowm³/h
8#9-1 circulating slurry pump currentA
9#9-3 circulating slurry pump currentA
10#9 absorption tower entrance flue gas temperature°C
11The sum of air flowCMH
12The sum of coalt
13#9 absorption tower export flue gas temperature 1°C
14#9 absorption tower export flue gas temperature 2°C
15#9 absorption tower export flue gas temperature 3°C
16#9 furnace chimney entrance net flue gas flowNm³/h
17#9 furnace chimney entrance net flue gas pressurePa
18#9 furnace raw flue gas NOxmg/m3
19#9 furnace raw flue gas O2mg/m3
20Median value of desulfurization productivity of unit 9%
21#9-2 absorption tower export temperature 1°C
22#9-2 absorption tower export pressurePa
23#9-1 absorption tower export flue gas O2mg/m3
24#9 absorption tower level valuem
25#9-2 absorber tower levelm
26Water circulation vacuum pumpkW
27Gypsum slurry outflow pump a currentA
28#9 gypsum slurry cyclone entrance pressurePa
29Dewatering machine powerkW
30Gypsum filter cake heightm