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Improved variational mode decomposition-based noise source recognition method

A technology of variational mode decomposition and identification method, which is applied in the field of engine NVH, to achieve the effect of improving accuracy, reducing cost and reducing artificial screening

Active Publication Date: 2018-11-23
TIANJIN UNIV
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Problems solved by technology

[0003] There are many methods for noise source identification. Traditional noise source identification relies on the accuracy of test equipment and requires relevant test experience.

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  • Improved variational mode decomposition-based noise source recognition method
  • Improved variational mode decomposition-based noise source recognition method

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Embodiment Construction

[0024] The purpose of the present invention is to overcome the problems of high cost and low precision of the existing noise source identification technology, and use a variety of signal processing and analysis methods to analyze and process the noise signal of the internal combustion engine, and then identify the corresponding noise source. It mainly includes the following steps:

[0025] (1) Acquisition of single-channel signal noise under a certain working condition of the engine: refer to GB / T 1859-2000 Reciprocating Internal Combustion Engine Radiated Air Noise Measurement Engineering Method and Simple Method, and collect single-working condition internal combustion engine vibration and noise signals in a semi-anechoic laboratory. At the same time, near-field noise signals such as oil pan, left body, right body, gear chamber cover, flywheel housing, valve chamber cover, etc. are collected.

[0026] (2) Preprocessing the noise signal: the acquired single-channel noise sign...

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Abstract

The invention relates to an improved variational mode decomposition-based noise source recognition method. The method comprises the following steps of: acquiring single-channel signal noise of an engine under a certain working condition; carrying out preprocessing such as trend term removal and denoising on a noise signal; carrying out improved variational mode decomposition IVMD on the preprocessed signal to obtain signal components of different frequency bands; for output decomposed signal components, screening main noise components by utilizing mutual information, and determining main noisefrequency bands; carrying out mutual information analysis on the noise components and a source signal, and determining several components with highest mutual information values as the main noise frequency bands to carry out subsequent separation and analysis; carrying out blind source separation on the noise components to obtain independent noise components; carrying out time frequency analysis and Fourier transformation on the independent noise components by utilizing wavelet transformation so as to determine features such as a noise component time frequency, a power spectrum and an envelopespectrum of each independent component; and carrying out coherence analysis on the noise components and near-field noise to recognize a component noise signal source.

Description

technical field [0001] The invention relates to the field of engine NVH, in particular to an engine noise source identification method based on signal processing. Background technique [0002] With the continuous increase of power density of internal combustion engine, its noise problem has been paid more and more attention. There are many noise sources in internal combustion engines and they affect each other. The separation and identification of noise sources is of great significance to grasp the characteristics of sound sources and carry out corresponding noise control. [0003] There are many methods for noise source identification. Traditional noise source identification relies on the accuracy of test equipment and requires relevant test experience. Noise source identification based on signal processing has the characteristics of low cost, good visualization and high identification accuracy. The single-channel noise signal is used to decompose and process the signal t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/20G06F2119/10
Inventor 张俊红汤周杰林杰威
Owner TIANJIN UNIV
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