Real-Time Research of Diesel Engine Vibration Signal Denoising by Wavelet Based on DSP

被引：0

作者：

Ying M. ^{[1
]}

Feng G. ^{[2
,3
]}

Jia S. ^{[2
,3
]}

Huo X. ^{[2
,3
]}

Ma C. ^{[2
,3
]}

机构：

[1] School of Mechanical Engineering, Beijing Institute of Technology, Beijing

[2] School of Mechanical Engineering, Shijiazhuang Tiedao University, Shijiazhuang

[3] Hebei Key Laboratory of Power and Transmission Control of Construction Machinery, Shijiazhuang Tiedao University, Shijiazhuang

[4] Hebei Juntao Technology Company Limited, Shijiazhuang

来源：

Neiranji Xuebao/Transactions of CSICE (Chinese Society for Internal Combustion Engines) | 2022年 / 40卷 / 04期

关键词：

Diesel engine; Digital signal processor(DSP); Real-time; Vibration noise; Wavelet transform;

D O I：

10.16236/j.cnki.nrjxb.202204043

中图分类号：

学科分类号：

摘要：

In view of the high sampling frequency of vibration signals collected by the diesel engine real-time monitoring system and the difficulty of real-time noise reduction, the traditional real-time evaluation method is difficult to accurately describe the noise reduction time needed in digital signal processor(DSP). A wavelet transform instruction period model based on DSP was proposed and the real-time performance of different wavelet algorithms was analyzed and compared. According to characteristics of the vibration signals collected from the cylinder head of diesel engine, a comprehensive evaluation index based on variation coefficient was proposed, and the number of wavelet decomposition layers and wavelet basis function were optimized from the aspects of noise reduction effect and real-time. The results show that the model is in good agreement with the real-time performance of wavelet algorithm in DSP, and the optimized wavelet denoising parameters can meet the real-time noise reduction requirements at 25 kHz sampling frequency. © 2022, Editorial Office of the Transaction of CSICE. All right reserved.

引用

页码：345 / 350

页数：5

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