Analysis of Converter Combustion Flame Spectrum Big Data Sets Based on HHT
Joint Authors
Chang, Jincai
Wang, Jiecheng
Wang, Zhuo
Shan, Shuaijie
Liu, Chunfeng
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-05
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The characteristics of the converter combustion flame are one of the key factors in the process control and end-point control of steelmaking.
In a big data era, it is significant to carry out high-speed and effective processing on frame spectrum data.
By installing data acquisition devices at the converter mouth and separating the spectrum according to the wave length, high-dimensional converter flame spectrum big data sets are achieved.
The data of each converter is preprocessed after information fusion.
By applying the SM software, the correspondence with the carbon content is obtained.
Selecting the relative data of the two peak ratios and the single-peak absolute data as a one-dimensional signal, due to the obvious nonlinear and nonstationary characteristics, using HHT to do empirical mode decomposition and Hilbert spectrum analysis, the variation characteristics after 70% of the converter steelmaking process are obtained.
From data acquisition, data preprocessing to data analysis and results, it provides a new perspective and method for the study of similar problems.
American Psychological Association (APA)
Chang, Jincai& Wang, Jiecheng& Wang, Zhuo& Shan, Shuaijie& Liu, Chunfeng. 2018. Analysis of Converter Combustion Flame Spectrum Big Data Sets Based on HHT. Complexity،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1136312
Modern Language Association (MLA)
Chang, Jincai…[et al.]. Analysis of Converter Combustion Flame Spectrum Big Data Sets Based on HHT. Complexity No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1136312
American Medical Association (AMA)
Chang, Jincai& Wang, Jiecheng& Wang, Zhuo& Shan, Shuaijie& Liu, Chunfeng. Analysis of Converter Combustion Flame Spectrum Big Data Sets Based on HHT. Complexity. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1136312
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1136312