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A Noise Source Identification Method Based on Improved Variational Mode Decomposition

A variational mode decomposition and identification method technology, applied in the field of engine NVH, to achieve the effect of solving mode mixing, reducing costs, and solving the inaccurate decomposition number

Active Publication Date: 2021-04-16
TIANJIN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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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.

Method used

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  • A Noise Source Identification Method Based on Improved Variational Mode Decomposition
  • A Noise Source Identification Method Based on Improved Variational Mode Decomposition
  • A Noise Source Identification Method Based on Improved Variational Mode Decomposition

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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 a noise source identification method based on improved variational mode decomposition, comprising the following steps: collecting single-channel signal noise under a certain working condition of an engine; performing detrending and denoising preprocessing on the noise signal; For the preprocessed signal, the improved variational mode decomposition IVMD is carried out to obtain the signal components of different frequency bands; for the output decomposed signal components, the main noise components are screened by mutual information to determine the main noise frequency bands: the noise components and the source signal are interacted Information analysis, determine the components with the highest mutual information value as the main noise frequency bands for subsequent separation and analysis; perform blind source separation on the noise components to obtain independent noise components; use wavelet transform for time-frequency analysis and analysis of independent noise components Fourier transform, to determine the time-frequency, power spectrum, envelope spectrum and other characteristics of the noise component of each independent component; to analyze the coherence between the noise component and the near-field noise, and to identify the source of the component noise signal.

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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06F30/20G06F17/14G06F119/10
CPCG06F30/20G06F2119/10
Inventor 张俊红汤周杰林杰威
Owner TIANJIN UNIV
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