Effects of Direct-Current (DC) Electric Fields on Flame Propagation and Combustion Characteristics of Lean Premixed CH4/O2/N2 Flames

Meng, Xiangwen; Wu, Xiaomin; Liu, Jie; Kang, Chris; Yang, Xing; Gao, Zhongquan

doi:10.4271/2013-01-0309

Cited by 2 publications

(1 citation statement)

References 47 publications

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“…In recent years, many Chinese and foreign scholars [10][11][12][13][14][15][16][17] have explored the combustion characteristics, chemical reactions, and ionic wind effects of fires under the effect of electric fields. However, they often used the photos taken by intensified charge coupled device or complementary metal oxide semiconductor cameras in experiments followed by artificial processing.…”

Section: Related Workmentioning

confidence: 99%

Characteristics Based Fire Detection System Under the Effect of Electric Fields With Improved Yolo-v4 and ViBe

et al. 2022

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To address slow image-based detection of fires under the effect of electric fields and its limitation to static fire characteristics, this paper proffersa video-based fire detection system with improved you only look once version 4 (Yolo-v4) and visual background extractor (ViBe) algorithms. The proposed system uses a simplified weighted bi-directional feature pyramid network (Bi-FPN) in place of the path aggregation network (PANet) as a feature fusion network in Yolo-v4. Using multiple dynamic fire characteristics, it can eliminate falsely detected frames. The ViBe algorithm is improved to consider the sudden change of light triggered by fire flickering. Compared with other fire detection algorithms, the proposed system achieves 98.9% fire detection accuracy with a false detection rate of 2.2%. It can extract target fires by adjusting to sudden changes of light using no more than 16 frames. Moreover, the system achieves fire detection with more dynamic fire characteristics compared with the image-based fire detection under the effect of electric fields. INDEX TERMSFire detection, Yolo-v4, ViBe, bi-directional feature pyramid, dynamic characteristics, sudden change of light

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Section: Related Workmentioning

confidence: 99%

Characteristics Based Fire Detection System Under the Effect of Electric Fields With Improved Yolo-v4 and ViBe

et al. 2022

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Experimental Study of Lean Premixed CH₄/N₂/O₂ Flames under 40 Hz Low-Frequency Alternating-Current Electric Fields

Duan¹

2016

SAE Technical Paper Series

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Effects of Direct-Current (DC) Electric Fields on Flame Propagation and Combustion Characteristics of Lean Premixed CH₄/O₂/N₂ Flames

Cited by 2 publications

References 47 publications

Characteristics Based Fire Detection System Under the Effect of Electric Fields With Improved Yolo-v4 and ViBe

Characteristics Based Fire Detection System Under the Effect of Electric Fields With Improved Yolo-v4 and ViBe

Experimental Study of Lean Premixed CH₄/N₂/O₂ Flames under 40 Hz Low-Frequency Alternating-Current Electric Fields

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Effects of Direct-Current (DC) Electric Fields on Flame Propagation and Combustion Characteristics of Lean Premixed CH4/O2/N2 Flames

Cited by 2 publications

References 47 publications

Characteristics Based Fire Detection System Under the Effect of Electric Fields With Improved Yolo-v4 and ViBe

Characteristics Based Fire Detection System Under the Effect of Electric Fields With Improved Yolo-v4 and ViBe

Experimental Study of Lean Premixed CH4/N2/O2 Flames under 40 Hz Low-Frequency Alternating-Current Electric Fields

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Product

Resources

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Effects of Direct-Current (DC) Electric Fields on Flame Propagation and Combustion Characteristics of Lean Premixed CH₄/O₂/N₂ Flames

Experimental Study of Lean Premixed CH₄/N₂/O₂ Flames under 40 Hz Low-Frequency Alternating-Current Electric Fields