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Enhanced phase waterfall plot-based rotor crack weak fraction harmonic feature identification method

A technology of rotor cracks and fractional harmonics, which is applied in analyzing materials, processing detection response signals, and using sound waves/ultrasonic waves/infrasonic waves to analyze solids, etc., to achieve accurate identification and eliminate random phase values.

Active Publication Date: 2016-09-28
XI AN JIAOTONG UNIV
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Problems solved by technology

However, when the fault is particularly weak or the noise is large, it is difficult for the energy-based method to identify the weak frequency component

Method used

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  • Enhanced phase waterfall plot-based rotor crack weak fraction harmonic feature identification method
  • Enhanced phase waterfall plot-based rotor crack weak fraction harmonic feature identification method
  • Enhanced phase waterfall plot-based rotor crack weak fraction harmonic feature identification method

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Embodiment Construction

[0035] The present invention will be further described in detail below in conjunction with specific embodiments, which are explanations of the present invention rather than limitations.

[0036] The present invention obtains a series of short-time signals by moving short-time sampling of the original signal, that is, the signal to be analyzed, uses FFT to obtain its frequency-domain phase spectrum, and adopts a linear element morphological filtering method to realize phase spectrum feature enhancement; the enhanced phase spectrum is divided into The sampling time series are arranged sequentially into a phase waterfall diagram, which realizes the separation of the random phase area caused by FFT calculation and noise from the regular phase band of the real frequency component, so as to realize the identification of weak frequency components. This method is a brand-new frequency component identification method, which is simple and feasible, and can provide effective support for w...

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Abstract

The invention provides an enhanced phase waterfall plot-based rotor crack weak fraction harmonic feature identification method. Identification of weak frequency components is realized by using signal frequency domain phase spectrum features based on the characteristic that the phase value of the frequency components is independent of energy. The method comprises the following steps: 1, carrying out short time mobile sampling on signals to be analyzed to obtain serial short time signals, and adopting fast Fourier transform (FFT) to obtain frequency domain phase spectra respectively corresponding to the serial short time signals; 2, processing the obtained frequency domain phase spectra through adopting a line unit form filtering technology to obtain filtered feature enhanced frequency domain phase spectra in order to complete feature enhancement of the phase spectra; and 3, sequentially arranging the enhanced frequency domain phase spectra in a sampling time sequence to form an enhanced phase waterfall plot to realize separation of the regular phase band in the real frequency components and the random phase value caused by FFT calculating error and noises in order to complete identification of the rotor crack weak fraction frequency components.

Description

technical field [0001] The invention relates to the fields of mechanical vibration signal processing and data visualization, in particular to a method for identifying weak fractional harmonic features of rotor cracks based on enhanced phase waterfall diagrams. Background technique [0002] Large-scale rotating machinery with bearing-rotating shaft-blask as the main structural components is the most critical and widely used type of mechanical equipment in the aerospace, electric power and chemical industries. Due to the complex structure of this type of large-scale equipment and the large changes in working conditions, it is easy to cause wear or crack failure of the main structural components of the equipment bearing-rotating shaft-blisk. In order to avoid catastrophic accidents caused by the continuous development of faults, it is necessary to realize the identification of early faults. Due to the small vibration energy of early faults, the characteristic frequency is ofte...

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Application Information

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IPC IPC(8): G01N29/46G01N29/44G01N29/04
CPCG01N29/04G01N29/4454G01N29/4472G01N29/46G01N2291/0289G01N2291/2696G01N2291/012
Inventor 訾艳阳谢劲松成玮陈景龙王宇杨飞
Owner XI AN JIAOTONG UNIV
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