Title :
Similarity Estimation of Sensor Signals using Continuous Wavelet Correlation Analysis
Author :
Sasaoka, Hideichi ; Matsuura, Yuhou
Author_Institution :
Res. & Dev. Headquarters, Yamatake Corp., Kanagawa
Abstract :
Based on the wavelet transform, a method to estimate similarities among sensor signals is proposed. In this method, the time-frequency information which is obtained through the continuous wavelet transform is analyzed using the correlation analysis. It is possible to detect the frequency band which is not influenced by noise. This method is applied to chemical process signals. As the result, one signal was found to be highly related to product property. An inappropriate tuning of control loops was also found easily with the support of this method
Keywords :
correlation methods; signal processing; time-frequency analysis; wavelet transforms; chemical process signals; continuous wavelet correlation analysis; control loops; frequency band detection; sensor signals; similarity estimation; time-frequency information; wavelet transform; Chemical processes; Chemical sensors; Continuous wavelet transforms; Information analysis; Signal analysis; Signal processing; Time frequency analysis; Tuning; Wavelet analysis; Wavelet transforms; Continuous Wavelet Transform; Correlation Analysis; Similarity Estimation;
Conference_Titel :
SICE-ICASE, 2006. International Joint Conference
Conference_Location :
Busan
Print_ISBN :
89-950038-4-7
Electronic_ISBN :
89-950038-5-5
DOI :
10.1109/SICE.2006.315008
