Recognition of cylinder pressure based on LTSA-LSSVM

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Journal of Vibration and Shock ›› 2020, Vol. 39 ›› Issue (13) : 16-21.

CHANG Chun1， MEI Jianmin1,ZHAO Huimin1,SHEN Hong1,LI Xiaohui2

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Abstract

In order to improve the recognition accuracy of cylinder head vibration signal recovery cylinder pressure, a recognition method based on local tangent space arrangement (LTSA) and least squares support vector machine (LSSVM) is proposed. Firstly, the multi-dimensional features of the cylinder head vibration signals were extracted on time-domain, frequency-domain and wavelet packet energy-domain, and the dimension of feature set was reduced by LTSA method. Feature set reduced was used as the input of LSSVM model, and cylinder pressure was used as the output. Then a model for recognition of cylinder pressure was obtained by training the LSSVM model with plurality of samples. The results show that the cylinder pressure recognition method based on local tangent space arrangement and least squares support vector machine has the advantages of high precision and strong generalization ability.

Key words

diesel / vibration signal / recognition of cylinder pressure / local tangent space alignment / least squares support vector machine

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CHANG Chun1， MEI Jianmin1,ZHAO Huimin1,SHEN Hong1,LI Xiaohui2. Recognition of cylinder pressure based on LTSA-LSSVM[J]. Journal of Vibration and Shock, 2020, 39(13): 16-21

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