TELKOMNIKA Indonesian Journal of Electrical Engineering
Vol 12, No 10: October 2014

Combine Multi-predictor ofGas Concentration Prediction Based on Wavelet Transforms

Xiang, Wu ( China University Mining & Technology )
Jian-Sheng, Qian ( China University Mining & Technology )

Article Info

Publish Date
01 Oct 2014


A method of combine multi-predictoris proposed based on wavelet transform to improve the prediction precision of coal mine gas concentration time series. Firstly, the proposed model employ Mallat algorithm to decompose and reconstruct the gas concentration time series to isolate the low-frequency and high-frequency information. Then, ARMA model is built forthe prediction of high-frequency information and rectifies deviations of the predicted values by Markov bias correction method while the SVM model is used to fitthe prediction of the low-frequency information. At last, these predicted values are superimposedto obtain the predicted values of the original sequence. This method makes an effective separation of the feature information of gas concentration time series and takes full advantage of the features of different prediction models to achieve complementary advantages. The comparison experiment with the single-predictor models(BP, SVM) and single-predictor models based on wavelet decomposition(W-BP, W-SVM)show that the proposed method improves the overall predictionprecision.The results show that method has high precision and strong practicability.

Copyrights © 2014

Journal Info





Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering


TELKOMNIKA Indonesian Journal of Electrical Engineering (ISSN: 2302-4046, e-ISSN: 2087-278X, a Ei Compendex Indexed journal) is a monthly peer reviewed International Journal in English. The aim of this journal is to publish high-quality articles dedicated to all aspects of the latest outstanding ...