Quantitative analysis of the major components of coal ash using laser induced breakdown spectroscopy coupled with a wavelet neural network (WNN)-Reference-Cited by-同舟云学术

Quantitative analysis of the major components of coal ash using laser induced breakdown spectroscopy coupled with a wavelet neural network (WNN)

Published:2016 Issue:7 Volume:8 Page:1674-1680
ISSN:1759-9660
Container-title:Analytical Methods
language:en
Short-container-title:Anal. Methods

Author:

Wei Jiao¹²³⁴⁵,Dong Juan¹²³⁴⁵,Zhang Tianlong¹²³⁴⁵,Wang Zhanmei¹²³⁴⁵,Li Hua¹²³⁴⁵

Affiliation:

1. Institute of Analytical Science

2. College of Chemistry & Material Science

3. Northwest University

4. Xi'an 710069

5. China

Abstract

A laser induced breakdown spectroscopy (LIBS) technique combined with a wavelet neural network (WNN) was proposed for the quantitative analysis of the major components of coal ash.

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2016/AY/C5AY02994E

Reference33 articles.

1. The effects of particle concentration and charge exchange on fly ash beneficiation with pneumatic triboelectrostatic separation

2. A review of the interference of carbon containing fly ash with air entrainment in concrete

3. Autoclaved Aerated Concrete Produced with Low NO x Burner/Selective Catalytic Reduction Fly Ash

4. Flyash as a soil conditioner and fertilizer

5. Finding the optimum binder for fly ash pelletization

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