General theory on online wavelets denoising based on moving window

Presently, the data noising in the chimerical industry becomes an important topic and the study of online fault detection and diagnosis in industrial process is full of experiment. In this paper, we have described a general theory about wavelet and used a combined approach of online Wavelet denoising based on moving window. Insufficiency of traditional Wavelet denoising in real-time signal processing is conversed, necessities of online denoising are considered, and a moving window is offered into traditional Wavelet transform. Using the moving window, an online Wavelet denoising method is recommended. The simulation results show the success of these improvements for the fault diagnosis.