Online Measurement of Dioxin Emission in Solid Waste Incineration Using Fuzzy Broad Learning

Author:

Xia Heng1ORCID,Tang Jian1ORCID,Yu Wen2ORCID,Qiao Junfei1ORCID

Affiliation:

1. Faculty of Information Technology, Beijing University of Technology, Beijing, China

2. Departamento de Control Automatico, CINVESTAV-IPN (National Polytechnic Institute), Mexico City, Mexico

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Reference32 articles.

1. Potential for future reductions of global GHG and air pollutants from circular waste management systems

2. Dioxin emission prediction based on improved deep forest regression for municipal solid waste incineration process

3. Dioxin emission concentration measurement approach for municipal solid waste incineration process: A survey;Qiao;Acta Automatica Sinica,2020

4. Emission levels and phase distributions of PCDD/Fs in a full-scale municipal solid waste incinerator: The impact of wet scrubber system

5. Soft sensing method of dioxin emission in municipal solid waste incineration process based on broad hybrid forest regression;Xia;Acta Automatica Sinica,2022

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