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Driveability evaluation test data processing wavelet denoising method

An evaluation test and wavelet denoising technology, applied in complex mathematical operations, etc., can solve problems such as data spikes, affecting the accuracy of drivability quantification results, affecting the accuracy of evaluation indicators, etc., and achieve good denoising results

Inactive Publication Date: 2018-11-30
TONGJI UNIV
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Problems solved by technology

Due to external factors such as vibration, uneven road surface, environmental noise, and the interference caused by the vibration of the sensor used in the experiment, the noise signal is superimposed on the normal signal, which seriously affects the quality of the working condition data, which is expressed as discrete data measured in the experiment. There are shortcomings such as spikes and mutations, which seriously affect the accuracy of evaluation index extraction and further affect the accuracy of drivability quantification results

Method used

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  • Driveability evaluation test data processing wavelet denoising method
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Embodiment Construction

[0038] In order to make the implementation process, effect and application of the present invention easier to understand, the present invention is further elaborated in combination with the actual experimental data of the automobile in shifting conditions.

[0039] refer to figure 2 , using the following technical scheme for analysis: a wavelet denoising method suitable for processing drivability evaluation test data, the steps of which are:

[0040] 1. According to the characteristics of the test data, the alternative wavelet basis function is preliminarily selected, and the noise-containing signal is de-noised in the three-layer decomposition layer and the threshold determination method-maximum likelihood method.

[0041] 2. Obtain the value of root mean square error and signal-to-noise ratio of the signal after denoising, and select the optimal wavelet basis function for wavelet denoising according to the determination rule of the optimum wavelet basis function.

[0042] ...

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Abstract

The invention discloses a driveability evaluation test data processing wavelet denoising method. Compared with traditional wavelet denoising methods, the driveability evaluation test data processing wavelet denoising method comprises analyzing features of test data under different working conditions of automobile drivability testing, determining optimal wavelet base functions according to root-mean-square errors and signal-to-noise ratio, and according to the composite indexes structured by evenness and the root-mean-square errors, determining the optimal number of layers for wavelet decomposition. The driveability evaluation test data processing wavelet denoising method is high in good in driveability evaluation test data denoising effects and achieves guidance effects on data processingduring whole vehicle driveability test.

Description

technical field [0001] The invention relates to a wavelet denoising method suitable for processing drivability evaluation test data. Background technique [0002] Drivability is a combination of driving quality and vehicle response performance, and the quantification of drivability requires excavating drivability evaluation indicators from vehicle driving data under different operating conditions. The accuracy of drivability quantification results is affected by the accuracy of evaluation indicators, and the accuracy of evaluation indicators depends on the quality of driving condition data. Due to external factors such as vibration, uneven road surface, environmental noise, and the interference caused by the vibration of the sensor used in the experiment, the noise signal is superimposed on the normal signal, which seriously affects the quality of the working condition data, which is expressed as discrete data measured in the experiment. There are shortcomings such as spike...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/15
CPCG06F17/15
Inventor 刘海江李敏黄伟徐新胜苏博炜张欣周雷
Owner TONGJI UNIV
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