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In order to overcome the shortcomings in the traditional envelope analysis, the methods based on the wavelet transform and morphological filters are introduced for detecting defects in rolling element bearings. The method based on the analytic wavelet can be applied to non-linear and non-stationary bearing vibration signals. The method based on the morphological filters has the advantage of less computation,...
A method based on spatial correlation filtering and stationary wavelet transform is proposed to eliminate the noise in ECG signal. The spatial correlation filtering is applied to shrink the wavelet coefficients, and the stationary wavelet transform is used to decompose the noisy signal. The experiment shows that the algorithm is good for noise reduction of ECG signal.
De-noising and extraction of the weak signal are very important to mechanical fault detection in which case signals often have very low signal-to-noise ratio (SNR). In this paper, a denoising method based on the optimal Morlet wavelet is applied to feature extraction for mechanical vibration signals. The wavelet shape parameters are optimized based on kurtosis maximization criteria. The effectiveness...
A new method of bearings fault diagnosis based on the optimal impulse response wavelet is presented. The construction and optimization for mother wavelet are introduced. Theoretical background of the analytic wavelet transform is discussed in this paper. Experiment has confirmed that the proposed method is effective in detecting.
Distributed fiber optic sensing technique is considered as a promising tool to monitor continuously structural state in civil engineering. Distributed sensors produce large quantities of tempo-spatial data. The ability of wavelet transforms to detect abrupt changes, make them well suited for the analysis of monitoring data. This paper presents tempo-spatial wavelet-based data processing method for...
This paper presents a new approach to represent face by using non-tensor product bivariate wavelet filters. A new non-tensor product bivariate wavelet filter banks with linear phase are constructed from the centrally symmetric matrices. Our investigations demonstrate that these filter banks have a matrix factorization and they are capable of representing facial features for recognition. The implementations...
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