ITD, spectral kurtosis, smooth iteration envelope analysis method of rolling bearing

Abstract

The invention discloses an ITD, spectral kurtosis, smooth iteration envelope analysis method of a rolling bearing. The ITD, spectral kurtosis, smooth iteration envelope analysis method comprises steps that an original signal is decomposed by adopting an intrinsic time-scale decomposition method, and a noise component and a trend term of a decomposition result are eliminated by using data rearrangement and replacement operation, and then a signal after primary filtering is analyzed by adopting a spectral kurtosis method, and then a central frequency and a central bandwidth of an optimal filter are acquired; the above mentioned optimal filter is used for the secondary filtering of the signal after the primary filtering, and then the envelope analysis of the signal after the secondary filtering is carried out by adopting the smooth iteration envelope analysis, and at last, the fault type of the rolling bearing is determined according to an envelope spectrum. The ITD, spectral kurtosis, smooth iteration envelope analysis method is suitable for processing complicated rolling bearing fault signals, and is capable of determining the fault type of the rolling bearing accurately, and has a good anti-noise performance and good robustness, and is convenient for engineering application.

Description

technical field [0001] The invention relates to the field of state monitoring and fault diagnosis of rotating machinery, in particular to an ITD, spectrum kurtosis and smooth iterative envelope analysis method of a rolling bearing. Background technique [0002] Envelope analysis technique is widely used in fault diagnosis of gears and rolling bearings. The existing envelope analysis technology has the following three defects: ① The existing envelope analysis technology either directly analyzes the original signal, or only analyzes the original signal after simple filtering, so the existing method It is easily disturbed by noise, trend and other components, resulting in low analysis accuracy of the existing technology; ②The existing envelope analysis technology is based on the Hilbert transform, and the Hilbert transform requires that the signal to be analyzed must be a single component Narrowband signals, otherwise the frequency modulation part of the signal will pollute th...

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Problems solved by technology

The existing envelope analysis technology has the following three defects: ① The existing envelope analysis technology either directly analyzes the original signal, or only analyzes the original signal after simple filtering, so the existing method It is easily disturbed by noise, trend and other components, resulting in low analysis accuracy of the existing technology; ②The existing envelope analysis technology is based on the Hilbert transform, and the Hilbert transform requires that the signal to be analyzed must be a single component Narrowband signals, otherwise the frequency modulation part of the signal will pollute the amplitude envelope analysis results of the signal, but the current signals to be analyzed do not strictly meet the conditions of single component and narrowband, which will lead to the existing technology is easy to The problem of misjudgment occurs; ③The envelope spectrum obtained by traditional methods has endpoint effects

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