50results about How to "Endpoint effect avoidance" patented technology

The invention discloses an envelope analysis method based on intrinsic time scale decomposition filtering. The method includes that, firstly, the original signal is decomposed by the intrinsic time scale decomposition method, and then the noise component and the trend item in the decomposition result are eliminated by the data rearrangement and substitution operation, the signal after the primary filtering is analyzed by the spectral kurtosis method to obtain the center frequency and bandwidth of an optimal filter, the filter filters the signal after the primary filtering secondarily, the signal after the secondary filtering is subjected to envelope analysis by means of the rational spline iteration smoothing envelope analysis method, and at the end, the fault type of a rotary machine can be determined based on the spectrum envelope. The method is suitable for dealing with complex rotary machine fault signals, can accurately determine the fault type of the rotary machine, is good in noise resistance and robustness, and is convenient for engineering application.

The invention discloses an ELMD and rational spline smooth envelope analysis method for rotating machinery. According to the method, firstly, an original signal is decomposed through performing the set local mean decomposition method. Secondly, based on the data rearrangement and substitution operation, a noise component and a trend term in the decomposition result are removed. Thirdly, a signal is analyzed after the first filtering process through performing the spectral kurtosis method, so that the center frequency and the bandwidth of an optimal filter are obtained. Fourthly, the signal is subjected to second filtering after the first filtering process by means of the above filter. Fifthly, the signal is subjected to envelope analysis after the second filtering process through performing the rational spline iterative smooth envelope analysis method. Finally, the fault type of the rotating machinery is determined according to an envelope spectrum. According to the technical scheme of the invention, the method can be used for processing the complex fault signals of the rotating machinery and accurately judging the fault type of the rotating machinery. Meanwhile, the method is good in noise resistance and robustness, and is convenient for engineering application.

The invention discloses a WT, spectral kurtosis and smooth iteration envelope analysis method for a rolling bearing. The method comprises the steps that firstly, an original signal is decomposed through a wavelet decomposition method; secondly, noise components and trend terms in a decomposition result are excluded through a data rearrangement and replacement operation; thirdly, a signal obtained after first-time filtering is analyzed through a spectral kurtosis method to obtain the optimal center frequency and bandwidth of a filter; fourthly, the signal obtained after first-time filtering is filtered for the second time through the filter; fifthly, envelope analysis is conduced on the signal obtained after second-time filtering through a smooth iteration envelope analysis method; lastly, the fault type of the rolling bearing is determined according to an envelope spectrum. The method is suitable for processing a complex rolling bearing signal, the fault type of the rolling bearing can be accurately judged, the good noise immunity and robustness are achieved, and engineering application is convenient.