收藏切换
Research on Detection Method of Leakage in Automotive Exhaust Pipes Based on Distributed Fiber Optic Vibration Sensing Technology
收藏切换
PDF
Jian Yang1, Ming Chen2
Automotive Engineer | 2024, (11) : 20 - 24
Less
收藏切换
Automotive Engineer | 2024, (11): 20-24
Research on Detection Method of Leakage in Automotive Exhaust Pipes Based on Distributed Fiber Optic Vibration Sensing Technology
Full
Jian Yang1, Ming Chen2
Affiliations
  • 1 Anhui University of Science and Technology, Huainan 232001
  • 2 Shenzhen University, Shenzhen 518060
Published: 2024-11-15 doi: 10.20104/j.cnki.1674-6546.20240210
Outline
收藏切换

To tackle the challenge of exhaust gas leak detection, this paper proposes an exhaust gas leakage detection method based on distributed fiber optic vibration sensing technology. Firstly, sensors are mounted on the vehicle’s exhaust pipe to detect variations in both intensity and phase of the optical fiber light signal, which arise from local pressure disturbances associated with exhaust gas leaks. A distributed vibration sensing system that utilizes a dual Mach-Zehnder interferometer setup is applied with a differential cross-correlation algorithm for demodulating vibrations captured at both ends. Secondly, a cross-correlation delay algorithm is used to precisely pinpoint any leakage locations. In simulation test, leak scenarios are emulated using a piezoelectric ceramic device along with a designated fiber length of 2 m, achieving remarkable positioning accuracy of 0.01 m and validating the feasibility of this proposed method.

Exhaust gas leakage detection  /  Distributed fiber optic sensing  /  Dual-Mach-Zehnder interferometer  /  Cross-correlation delay positioning
Jian Yang, Ming Chen. Research on Detection Method of Leakage in Automotive Exhaust Pipes Based on Distributed Fiber Optic Vibration Sensing Technology[J]. Automotive Engineer, 2024 , (11) : 20 -24 . DOI: 10.20104/j.cnki.1674-6546.20240210
Year 2024 volume Issue 11
PDF
163
64
Cite this Article
BibTeX
Article Info
doi: 10.20104/j.cnki.1674-6546.20240210
  • Online Date:2025-11-25
  • Published:2024-11-15
Article Data
Affiliations
History
  • Revised:2024-08-27
Affiliations
    1 Anhui University of Science and Technology, Huainan 232001
    2 Shenzhen University, Shenzhen 518060
References
Share
https://castjournals.cast.org.cn/joweb/qcgcs/EN/10.20104/j.cnki.1674-6546.20240210
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT