Engineering mechanical transmission load signal denoising method based on wavelet analysis
A technology of construction machinery and wavelet analysis, applied in the field of signal processing, can solve the problems of inaccurate denoising and large amount of calculation, and achieve the effect of simplifying the denoising process, simple accuracy and easy extraction
Active Publication Date: 2015-09-09
BEIJING INSTITUTE OF TECHNOLOGYGY
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It can be seen that the denoising method in the prior art has a large amount of calculation and the denoising is not accurate enough
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[0036] The present invention provides a method for denoising the transmission signal of construction machinery based on wavelet analysis. During the same data collection process, the working conditions of the vehicle test system, the external environment and other interference factors are basically the same, and the noise characteristics are the same during the same data collection process. Therefore, the vehicle driving state is divided into the simple idle speed condition under load. In addition to idling conditions and other complex load conditions, they are called random conditions, so that the denoising experience of idling conditions can provide a reference for the denoising of random conditions, so that the denoising process can be based on evidence, so as to achieve good results. Denoising effect.
[0037] The present invention will be described in detail below with reference to the accompanying drawings and embodiments.
[0038] A method for denoising construction ma...
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The present invention discloses an engineering mechanical transmission load signal denoising method based on wavelet analysis. The engineering mechanical transmission load signal denoising method is based on the wavelet analysis technology; and vehicle running states comprise an idling working condition and a random working condition, so that denoising experience of the idling working condition provides reference for denoising of the random working condition. Firstly, under the idling working condition, load data is acquired, a wavelet coefficient and a threshold value on each decomposition scale are calculated, the wavelet coefficients are subjected to threshold value quantizing processing by the corresponding threshold values, the wavelet coefficients of the threshold values are removed and the residual wavelet coefficients are retained; and the load data is subjected to one-dimensional wavelet reconstruction by utilizing the retained wavelet coefficients and denoising processing is completed. Secondly, under the random working condition, load data is acquired, a wavelet coefficient on each decomposition scale is calculated, the wavelet coefficients are subjected to threshold value quantizing processing by the threshold values under the idling working condition, the wavelet coefficients of the threshold values are removed and the residual wavelet coefficients are retained; and the load data is subjected to one-dimensional wavelet reconstruction by utilizing the retained wavelet coefficients and denoising processing is completed.
Description
technical field [0001] The invention relates to the field of signal processing, in particular to a method for denoising a transmission signal of construction machinery based on wavelet analysis. Background technique [0002] The load spectrum is the basis for the estimation and reliability analysis of the fatigue life of the traditional system components. Due to the complex driving conditions, harsh driving environment and special use of construction machinery, the loads it bears are mostly random loads, such as the vibration generated during the operation of the engine, the impact of various parts of the transmission system from external loads such as roads, and the transmission process. The torsional additional load generated in the gear shift process, the shock and vibration generated during the shifting process, etc., these loads are mostly medium and high frequency signal loads. As each part of the transmission system is subjected to random additional loads for a long ...
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Inventor 席军强张国鑫刘海鸥陈慧岩赵亦农
Owner BEIJING INSTITUTE OF TECHNOLOGYGY