Study on the Noise Reduction of Vehicle Exhaust NOX Spectra Based on Adaptive EEMD Algorithm
It becomes a key technology to measure the concentration of the vehicle exhaust components with the transmission spectra. But in the conventional methods for noise reduction and baseline correction, such as wavelet transform, derivative, interpolation, polynomial fitting, and so forth, the basic fun...
Saved in:
Main Authors: | , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2017-01-01
|
Series: | Journal of Spectroscopy |
Online Access: | http://dx.doi.org/10.1155/2017/3290420 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832547544209555456 |
---|---|
author | Kai Zhang Yujun Zhang Kun You Ying He Qiankun Gao Guohua Liu Chungui He Yibing Lu Boqiang Fan Qixing Tang Wenqing Liu |
author_facet | Kai Zhang Yujun Zhang Kun You Ying He Qiankun Gao Guohua Liu Chungui He Yibing Lu Boqiang Fan Qixing Tang Wenqing Liu |
author_sort | Kai Zhang |
collection | DOAJ |
description | It becomes a key technology to measure the concentration of the vehicle exhaust components with the transmission spectra. But in the conventional methods for noise reduction and baseline correction, such as wavelet transform, derivative, interpolation, polynomial fitting, and so forth, the basic functions of these algorithms, the number of decomposition layers, and the way to reconstruct the signal have to be adjusted according to the characteristics of different components in the transmission spectra. The parameter settings of the algorithms above are not transcendental, so with them, it is difficult to achieve the best noise reduction effect for the vehicle exhaust spectra which are sharp and drastic in the waveform. In this paper, an adaptive ensemble empirical mode decomposition (EEMD) denoising model based on a special normalized index optimization is proposed and used in the spectral noise reduction of vehicle exhaust NOX. It is shown with the experimental results that the method can effectively improve the accuracy of the spectral noise reduction and simplify the denoising process and its operation difficulty. |
format | Article |
id | doaj-art-01dff59e311d4283bab4624720e42d1c |
institution | Kabale University |
issn | 2314-4920 2314-4939 |
language | English |
publishDate | 2017-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Spectroscopy |
spelling | doaj-art-01dff59e311d4283bab4624720e42d1c2025-02-03T06:44:24ZengWileyJournal of Spectroscopy2314-49202314-49392017-01-01201710.1155/2017/32904203290420Study on the Noise Reduction of Vehicle Exhaust NOX Spectra Based on Adaptive EEMD AlgorithmKai Zhang0Yujun Zhang1Kun You2Ying He3Qiankun Gao4Guohua Liu5Chungui He6Yibing Lu7Boqiang Fan8Qixing Tang9Wenqing Liu10Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, Anhui Province 230031, ChinaKey Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, Anhui Province 230031, ChinaKey Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, Anhui Province 230031, ChinaKey Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, Anhui Province 230031, ChinaKey Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, Anhui Province 230031, ChinaKey Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, Anhui Province 230031, ChinaKey Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, Anhui Province 230031, ChinaKey Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, Anhui Province 230031, ChinaKey Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, Anhui Province 230031, ChinaKey Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, Anhui Province 230031, ChinaKey Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, Anhui Province 230031, ChinaIt becomes a key technology to measure the concentration of the vehicle exhaust components with the transmission spectra. But in the conventional methods for noise reduction and baseline correction, such as wavelet transform, derivative, interpolation, polynomial fitting, and so forth, the basic functions of these algorithms, the number of decomposition layers, and the way to reconstruct the signal have to be adjusted according to the characteristics of different components in the transmission spectra. The parameter settings of the algorithms above are not transcendental, so with them, it is difficult to achieve the best noise reduction effect for the vehicle exhaust spectra which are sharp and drastic in the waveform. In this paper, an adaptive ensemble empirical mode decomposition (EEMD) denoising model based on a special normalized index optimization is proposed and used in the spectral noise reduction of vehicle exhaust NOX. It is shown with the experimental results that the method can effectively improve the accuracy of the spectral noise reduction and simplify the denoising process and its operation difficulty.http://dx.doi.org/10.1155/2017/3290420 |
spellingShingle | Kai Zhang Yujun Zhang Kun You Ying He Qiankun Gao Guohua Liu Chungui He Yibing Lu Boqiang Fan Qixing Tang Wenqing Liu Study on the Noise Reduction of Vehicle Exhaust NOX Spectra Based on Adaptive EEMD Algorithm Journal of Spectroscopy |
title | Study on the Noise Reduction of Vehicle Exhaust NOX Spectra Based on Adaptive EEMD Algorithm |
title_full | Study on the Noise Reduction of Vehicle Exhaust NOX Spectra Based on Adaptive EEMD Algorithm |
title_fullStr | Study on the Noise Reduction of Vehicle Exhaust NOX Spectra Based on Adaptive EEMD Algorithm |
title_full_unstemmed | Study on the Noise Reduction of Vehicle Exhaust NOX Spectra Based on Adaptive EEMD Algorithm |
title_short | Study on the Noise Reduction of Vehicle Exhaust NOX Spectra Based on Adaptive EEMD Algorithm |
title_sort | study on the noise reduction of vehicle exhaust nox spectra based on adaptive eemd algorithm |
url | http://dx.doi.org/10.1155/2017/3290420 |
work_keys_str_mv | AT kaizhang studyonthenoisereductionofvehicleexhaustnoxspectrabasedonadaptiveeemdalgorithm AT yujunzhang studyonthenoisereductionofvehicleexhaustnoxspectrabasedonadaptiveeemdalgorithm AT kunyou studyonthenoisereductionofvehicleexhaustnoxspectrabasedonadaptiveeemdalgorithm AT yinghe studyonthenoisereductionofvehicleexhaustnoxspectrabasedonadaptiveeemdalgorithm AT qiankungao studyonthenoisereductionofvehicleexhaustnoxspectrabasedonadaptiveeemdalgorithm AT guohualiu studyonthenoisereductionofvehicleexhaustnoxspectrabasedonadaptiveeemdalgorithm AT chunguihe studyonthenoisereductionofvehicleexhaustnoxspectrabasedonadaptiveeemdalgorithm AT yibinglu studyonthenoisereductionofvehicleexhaustnoxspectrabasedonadaptiveeemdalgorithm AT boqiangfan studyonthenoisereductionofvehicleexhaustnoxspectrabasedonadaptiveeemdalgorithm AT qixingtang studyonthenoisereductionofvehicleexhaustnoxspectrabasedonadaptiveeemdalgorithm AT wenqingliu studyonthenoisereductionofvehicleexhaustnoxspectrabasedonadaptiveeemdalgorithm |