Support vector machine based online coal identification through advanced flame monitoring

Hao Zhou; Qi Tang; Linbin Yang; Yong Yan; Gang Lu; Kefa Cen

doi:10.1016/j.fuel.2013.10.041

ScienceGate Book Chapters

JOURNAL ARTICLE

Support vector machine based online coal identification through advanced flame monitoring

Hao Zhou Qi Tang Linbin Yang Yong Yan Gang Lu Kefa Cen

Year: 2013 Journal: Fuel Vol: 117 Pages: 944-951 Publisher: Elsevier BV

DOI: 10.1016/j.fuel.2013.10.041

Get Full-Text PDF Get Analytical Report

Keywords:

Coal Combustor Combustion Support vector machine Environmental science Volumetric flow rate Process engineering Computer science Artificial intelligence Chemistry Waste management Engineering Mechanics Physics

Metrics

Cited By

3.67

FWCI (Field Weighted Citation Impact)

Refs

0.92

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Spectroscopy and Chemometric Analyses

Physical Sciences → Chemistry → Analytical Chemistry

Fire Detection and Safety Systems

Physical Sciences → Engineering → Safety, Risk, Reliability and Quality

Advanced Algorithms and Applications

Physical Sciences → Engineering → Control and Systems Engineering

Support vector machine based online coal identification through advanced flame monitoring

Metrics

Citation History

Topics

Related Documents

Combining flame monitoring techniques and support vector machine for the online identification of coal blends

On System Identification Based on Online Least Squares Support Vector Machine

Online modeling based on support vector machine

Research on optical surface quality online monitoring based on support vector machine

Coal-Rock Interface Identification Method Based on Dimensionless Parameters and Support Vector Machine