Optimization of FTIR Passive Remote Sensing Signal-to-Noise Ratio and Its Application in SF6 Leak Detection in Transform Substation

doi:10.3964/j.issn.1000-0593(2021)05-1436-05

	Optimization of FTIR Passive Remote Sensing Signal-to-Noise Ratio and Its Application in SF6 Leak Detection in Transform Substation
	Cui Fang-xiao 1; Zhao Yue 2; Ma Feng-xiang 2; Wu Jun 1; Wang An-jing 1; Li Da-cheng 1; Li Yang-yu 1
刊名	SPECTROSCOPY AND SPECTRAL ANALYSIS
	2021-05-01
卷号	41
关键词	FTIR Passive remote sensing Signal-to-noise ratio SF6
ISSN号	1000-0593
DOI	10.3964/j.issn.1000-0593(2021)05-1436-05
通讯作者	Wu Jun(wujun@aiofm.ac.cn)
英文摘要	Passive FTIR infrared remote sensing technology is useful in gas leak detection. The detection limit of trace gas is related to the instrument's signal-to-noise ratio (SNR). The instrumental SNR is related to measurement parameters, such as spectral resolution, sampling frequency, integration time, and average times. How to optimize the combination of parameters to achieve the best signal-to-noise ratio in combination with actual applications currently lacks system analysis. This paper the oretically analyzes the relationship between these parameters and SNR and categorizes them into three aspects: (1) In terms of spectral resolution, the conclusion, cited from Roland Harig, is that SNR stays the same when the spectral resolution is lower than the full width at half maximum (FWHM), but in order to avoid interference of background gases, the resolution mustavoid too low and is appropriately set in practical application; (2) In terms of the sampling frequency, sampling frequency reduction can reduce calculation cost and narrow the spectral range, but the sampling frequency and spectral range are not related with SNR; (3) In terms of integration time and multiple spectra averaging, under the same time conditions, multiple interferogram acquisitions will introduce a sampling error in zero path difference, making the noise larger than the theoretical calculation, so SNR obtained by long integration time is better than multiple averaging. Conducted sulfur hexafluoride (SF6) leak detection experiment, the 4 cm resolution is selected according to SF6 spectral feature, and 20 kHz sampling frequency is selected by taking into account SNR and detection time, and FTIR inspection system is used to locate the leakage point in the transform substation, which proves the effectiveness of this method.
WOS关键词	SPECTROMETER ; RETRIEVAL
WOS研究方向	Spectroscopy
语种	英语
出版者	OFFICE SPECTROSCOPY & SPECTRAL ANALYSIS
WOS记录号	WOS:000658891700017
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/123893]
专题	中国科学院合肥物质科学研究院
通讯作者	Wu Jun
作者单位	1.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Key Lab Gen Opt Calibrat & Characterizat Technol, Hefei 230031, Peoples R China 2.State Grid Anhui Elect Power Res Inst, Hefei 230022, Peoples R China
推荐引用方式 GB/T 7714	Cui Fang-xiao,Zhao Yue,Ma Feng-xiang,et al. Optimization of FTIR Passive Remote Sensing Signal-to-Noise Ratio and Its Application in SF6 Leak Detection in Transform Substation[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS,2021,41.
APA	Cui Fang-xiao.,Zhao Yue.,Ma Feng-xiang.,Wu Jun.,Wang An-jing.,...&Li Yang-yu.(2021).Optimization of FTIR Passive Remote Sensing Signal-to-Noise Ratio and Its Application in SF6 Leak Detection in Transform Substation.SPECTROSCOPY AND SPECTRAL ANALYSIS,41.
MLA	Cui Fang-xiao,et al."Optimization of FTIR Passive Remote Sensing Signal-to-Noise Ratio and Its Application in SF6 Leak Detection in Transform Substation".SPECTROSCOPY AND SPECTRAL ANALYSIS 41(2021).