Wavelet Transform Applied on Vehicle Air Flow Meter (AFM) Signal De-Noising

Guan Ming Feng; Liang Rong Zhu; Zhuang Wen Wu

doi:10.4028/www.scientific.net/AMM.188.287

Paper Titles

Research on the Inversion of Equivalent Surface Heat Transfer Coefficient of Mass Concrete by Calculating its Heat Flux
p.264

Finite Element Stress Analysis with Consideration of Equivalent Stress in ANSYS – Case Study of Namchien Dam under Static and Dynamic Conditions
p.270

Numerical Simulation of the Effect of Section Size on Averaging Pitot Tube
p.277

Defect Imaging Using Time Reversal Guided Waves in Pipes
p.283

Wavelet Transform Applied on Vehicle Air Flow Meter (AFM) Signal De-Noising
p.287

Hardware-in-the-Loop Test and Failure Mode Simulation for AMT
p.292

The Relationship between the Traffic Accidents and Meteorological Condition on Beijing-Tianjin-Tanggu Expressway
p.300

Analysis and Application of Prediction Model for Public Parking Facilities Scale
p.308

Arsenite Oxidation Characteristics and Molecular Identification of Arsenic-Oxidizing Bacteria Isolated from Soil
p.313

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 188Wavelet Transform Applied on Vehicle Air Flow...

Wavelet Transform Applied on Vehicle Air Flow Meter (AFM) Signal De-Noising

Abstract:

In engine compartment, it is difficult to eliminate the effect of interfering signals on vehicle AFM signal by the traditional processing method. According to the characteristic of AFM signal, this paper decomposed the noise signal for 4 layers by selecting Daubechies (db5) wavelet in Matlab based on wavelet theory. After decomposing, and then employed the soft-threshold de-noising method to eliminate noise. At last this paper used the inverse wavelet transform to reconstruct signals for signal de-noising and rebuilding. The test results show that this method can eliminate the noises of AFM signal effectively.

You might also be interested in these eBooks

Applied Mechanics and Civil Engineering II

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 188)

Pages:

287-291

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.188.287

Citation:

Cite this paper

Online since:

June 2012

Authors:

Guan Ming Feng, Liang Rong Zhu, Zhuang Wen Wu

Keywords:

AFM Signal, De-Noising, Vehicle, Wavelet Transform (WT)

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Brooks, E.F, Barnicoat, G.D. Air flow measurement techniques for air fuel ratio control. Vehicular Technology Conference. 1981, 31 (31):13-18.

DOI: 10.1109/vtc.1981.1622906

Google Scholar

[2] Xue-Mei Huang, LIAO Rui-jin, Lai Zhi Da, the automobile electrical and electronic equipment, the research conducted interference test method. Automotive Engineering, 2011,33 (4) :357-360.

Google Scholar

[3] Liu Qingjun, Ye Weiwei, Du Liping etc. wavelet transform sensor signals in nerve cells denoising. Journal of sensing technology. 2009,22 (11) :1586-1590.

Google Scholar

[4] Wang Taikai, Peng into the industry. Wavelet analysis and its applications in signal processing. Beijing: Electronic Industry Press, 2006.

Google Scholar

[5] Wu, Y. Bobis, J.P. Gehman, R. The design and analysis of an improved high air flow meter with analog/digital filters. IEEE Transactions on Instrumentation and Measurement. 1992,6 (41): 791-796.

DOI: 10.1109/19.199409

Google Scholar

[6] Yjimay, Nakashimak. New measuring technique of cylinder pres-sure spectrum and its application to combustion noise reduction time-frequency analysis of combustion excitation using wavelet transform analysis. SAE Review 9 (1998): 277-282.

DOI: 10.1016/s0389-4304(98)00013-7

Google Scholar

[7] Sang-Kwon Lee, Choong-Yul Son Ride comfort analysis of a vehicle based on continuous wavelet transform. KSME International Journal.2001,(5):535-543

DOI: 10.1007/bf03184369

Google Scholar

[8] Aleksic, O.S, Maric, V.D, Zivanov, L.D. et al. A Novel Approach to Modeling and Simulation of NTC Thick-Film Segmented Thermistors for Sensor Applications. Sensors Journal. 2007,10 (7): 1420-1428.

DOI: 10.1109/jsen.2007.904875

Google Scholar