Sound Quality Prediction for Exhaust Noise Based on CEEMD Sample Entropy and GA-BP
[1]ZENG Falin,CAI Jiawei,SUN Sumin.Sound Quality Prediction for Exhaust Noise Based on CEEMD Sample Entropy and GA-BP[J].Journal of Zhengzhou University (Engineering Science),2020,41(06):19-25.[doi:10.13705/j.issn.1671-6833.2020.04.008]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
41卷
Number of periods:
2020 06
Page number:
19-25
Column:
Public date:
2020-12-31
- Title:
- Sound Quality Prediction for Exhaust Noise Based on CEEMD Sample Entropy and GA-BP
- Keywords:
- unsteady exhaust noise; GA-BP; sound quality; CEEMD; sample entropy; principal component analysis
- CLC:
- -
- DOI:
- 10.13705/j.issn.1671-6833.2020.04.008
- Abstract:
- In order to predict the sound quality of automobile unsteady exhaust noise, 2G WOT and 3G WOT tests were conducted. The main factors of satisfaction level were analyzed. Via the correlation analysis, internal relations between the psychoacoustic objective parameters and the subjective evaluation were revealed. The complementary ensemble empirical mode decomposition(CEEMD) was used to decompose the signals of the accelerated exhaust noise, obtaining multiple IMF components and calculating sample entropy of the IMF components. In order to reduce the possibility of redundancy and retain the main features of the original data, principal component analysis(PCA) was applied to reduce dimension of data, so as to establish a new sound quality parameter SQP-CSP(sound quality parameter base on CEEMD and then proceed SE-PCA). Meanwhile, the genetic algorithm(GA) was used to optimize the weights and thresholdsin BP neural network, so that a GA-BP was developed to predict the sound quality of the accelerated exhaust noise. In order to validate the newly extracted unsteady exhaust noise features，the psychoacoustic parameters were also taken as the model’s inputs to predict the sound quality．The results showed that the model based on the new parameters had higher accuracy for predicting the sound quality of unsteady exhaust noise.
- References:
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Last Update:
2021-02-10