Soft Sensor Model Based on Improved Elman Neural Network with Variable Data Preprocessing and Its Application

Table 1

Candidate variables of the soft sensor model for temperature prediction in the rotary kiln calcining process.

Variables	Description	Unit
	The speed of the chain grate	m/min
	The speed of the rotary kiln	rin/min
	The speed of the ring refrigerator	m/min
	The temperature of rotary kiln head	°C
	The temperature of rotary kiln tail	°C
	The quantity of coal injection	t
	I section temperature of the cooler	°C
	II section temperature of the cooler	°C
	Material thickness in the chain grate	mm
	Preheating I section temperature of the smoke hood in chain grate	°C
	Preheating II section temperature of the smoke hood in chain grate	°C