Predictive Modeling of Blast Furnace Gas Utilization Rate Using Different Data Pre-Processing Methods

Predictive Modeling of Blast Furnace Gas Utilization Rate Using Different Data Pre-Processing Methods

The gas utilization rate (GUR) is an important indicator parameter for reflecting the energy consumption and smooth operation of a blast furnace (BF). In this study, the original data of a BF are pre-processed by two methods, i.e., box plot and 3σ criterion, and two data sets are obtained. Then, sup...

Full description

Bibliographic Details
Main Authors: Dewen Jiang, Zhenyang Wang, Kejiang Li, Jianliang Zhang, Le Ju, Liangyuan Hao
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Metals
Subjects:
blast furnace
data pre-processing
extreme outlier
gas utilization rate
support vector regression
Online Access:https://www.mdpi.com/2075-4701/12/4/535

Internet

https://www.mdpi.com/2075-4701/12/4/535

Similar Items