Research on Diesel Engine Signal Noise Reduction Based on Zero Space Tracking Algorithm

To reduce the noise interference of diesel engine vibration signals and extract useful information, a noise reduction method based on zero space-tracking algorithm is proposed in this paper. Using the adaptive decomposition characteristics of the zero space-tracking algorithm to denoise the signal. Compared with empirical mode decomposition and variational mode decomposition, this method is more suitable for the characteristics of diesel engine vibration signals. Simulation and example signals show that this method has achieved good noise reduction effects.

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Publication Details

Journal
Automatic Control and Computer Sciences
Published
2025-12-01
DOI
https://doi.org/10.3103/s0146411625701366
Primary Topic
Machine Fault Diagnosis Techniques
Type
article
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article

Research on Diesel Engine Signal Noise Reduction Based on Zero Space Tracking Algorithm

Junzhen Zhu, Fuzhou Feng, Hao Hu, Lei Jiang
Automatic Control and Computer Sciences
Machine Fault Diagnosis Techniques
article

Research on Diesel Engine Signal Noise Reduction Based on Zero Space Tracking Algorithm

Junzhen Zhu, Fuzhou Feng, Hao Hu, Lei Jiang
article en

Abstract

To reduce the noise interference of diesel engine vibration signals and extract useful information, a noise reduction method based on zero space-tracking algorithm is proposed in this paper. Using the adaptive decomposition characteristics of the zero space-tracking algorithm to denoise the signal. Compared with empirical mode decomposition and variational mode decomposition, this method is more suitable for the characteristics of diesel engine vibration signals. Simulation and example signals show that this method has achieved good noise reduction effects.

Automatic Control and Computer SciencesVol. 59(6)
FORCE Technology (Norway) (NO)
Affordable and clean energy
Openalex Percentile: Top 30%
Machine Fault Diagnosis Techniques
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