Ignition ability prediction model of biomass fuel by arc beads using logistic regression-Reference-Cited by-同舟云学术

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Ignition ability prediction model of biomass fuel by arc beads using logistic regression

Published:2023-03-06 Issue:11 Volume:148 Page:4745-4757
ISSN:1388-6150
Container-title:Journal of Thermal Analysis and Calorimetry
language:en
Short-container-title:J Therm Anal Calorim

Author:

Lyu Hui-Fei^ORCID,Wang Cai-Ping,Deng Jun,Wang Wei-Feng,Li Yang,Shu Chi-Min

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shaanxi Province

Natural Science Foundation of Hebei Province

China Scholarship Council

Publisher

Springer Science and Business Media LLC

Subject

Physical and Theoretical Chemistry,Condensed Matter Physics

Link

https://link.springer.com/content/pdf/10.1007/s10973-023-12023-5.pdf

Reference52 articles.

1. Wu DC, Amini A, Razban A, et al. ARC algorithm: a novel approach to forecast and manage daily electrical maximum demand. Energy. 2018;154:383–9.

2. Rava A, Behzadmehr A, Sheikholeslami TF. Energy and exergy numerical analysis of alkali metal thermal-to-electric converter. J Therm Anal Calorim. 2022;147:10461–79.

3. Babrauskas V. Research on electrical fires: the state of the art. Fire Saf Sci. 2008;9:3–18.

4. Li Y, Sun Y, Gao Y, et al. Analysis of overload induced arc formation and beads characteristics in a residential electrical cable. Fire Saf J. 2022;131:103626.

5. Hadden RM, Scott S, Lautenberger C, et al. Ignition of combustible fuel beds by hot particles: an experimental and theoretical study. Fire Technol. 2011;47:41–55.

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