Improving Gas Distribution Tomography: Evaluation of Algorithms and Fan-Beam Measurement Geometries Indoors-Reference-Cited by-同舟云学术

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Improving Gas Distribution Tomography: Evaluation of Algorithms and Fan-Beam Measurement Geometries Indoors

Published:2023 Issue: Volume:72 Page:1-11
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Sun Yuxiao¹^ORCID,Chen Wushuang²^ORCID,Li Fei²^ORCID,Gu Zhonglin¹^ORCID,Feng Lihang³^ORCID,Guo Dongjun⁴^ORCID,Cai Hao¹^ORCID

Affiliation:

1. College of Urban Construction, Nanjing Tech University, Nanjing, China

2. CECEP City Energy Conservation Company Ltd., Beijing, China

3. College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China

4. Research Center for Underground Space, Army Engineering University of PLA, Nanjing, China

Funder

Natural Science Foundation of China

Anhui Science and Technology Major Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10035534.pdf?arnumber=10035534

Reference45 articles.

1. A least squares approach for learning gas distribution maps from a set of integral gas concentration measurements obtained with a TDLAS sensor

2. Comparison between ML-EM and WLS-CG algorithms for SPECT image reconstruction

3. Tomographic reconstruction of air pollutants: evaluation of measurement geometries

4. Reconstruction of Axisymmetric Temperature and Gas Concentration Distributions by Combining Fan-Beam TDLAS With Onion-Peeling Deconvolution

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