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Adaptive STFT based rotary machine order tracking method

A rotating machinery and order tracking technology, which is applied in the field of STFT order tracking, can solve the problems of time-frequency domain aliasing and the limitation of time-frequency resolution that cannot be changed, and achieve the effect of avoiding aliasing and overcoming the fixed window length

Inactive Publication Date: 2013-10-16
STATE GRID CORP OF CHINA +2
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Problems solved by technology

[0004] The purpose of the present invention is to provide a rotating machinery order tracking method based on adaptive STFT to solve the limitation that the existing order tracking method cannot change the time-frequency resolution, and there is aliasing in the time-frequency domain, which is only applicable to the change of the rotational speed Problems with smaller units

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  • Adaptive STFT based rotary machine order tracking method
  • Adaptive STFT based rotary machine order tracking method
  • Adaptive STFT based rotary machine order tracking method

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[0029] The present invention will be described in detail below in conjunction with the accompanying drawings and specific application examples.

[0030] The principle of the rotating machinery order tracking method based on adaptive STFT is as follows: figure 1 As shown, the scale function of the window function is determined according to the principle that the greater the speed of the window function, the greater the length of the window function. The scale function is substituted into the adaptive STFT, and the original vibration signal is subjected to an adaptive STFT, and the order is extracted from the transformed time-frequency spectrum. Secondary component, perform inverse transformation on the order component to obtain the time-domain curve of the order component, and realize order tracking. The specific steps of this method are as follows:

[0031] 1. Use an eddy current sensor to collect the radial vibration signal of the rotating shaft, denoted as x(n).

[0032] 2....

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Abstract

The present invention relates to an adaptive STFT based rotary machine order tracking method. A scale function of a window function is determined based on the principle that the length of the window function decreases as the rotating speed increases and is plugged into adaptive STFT, and an original vibration signal is subjected to adaptive STFT. Thereafter, an order component is extracted from a transformed time-frequency spectrum, and the order component is subjected to inverse transformation to obtain a time domain curve of the order component, thereby achieving the order tracking. The method provided by the invention effectively overcomes the defect of fixed window length of STFT based order tracking, and prevents the problem of aliasing of time-frequency spectrum, providing an effective technical means for detail analysis of the vibration characteristics and fault diagnosis in a speed increasing process of the machine.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis of rotating mechanical equipment, and relates to an STFT order tracking method with adaptive time-frequency division frequency characteristics. Background technique [0002] The basic idea of ​​fault diagnosis of rotating machinery is to determine the corresponding relationship between the fault signal and the rotation angle according to the vibration signal of the unit, that is, the number of fault pulses generated by the main shaft rotating one revolution, and then judge the position of the fault signal. For a unit with a constant speed, there is a one-to-one correspondence between the spindle rotation angle and time, so the diagnostic method based on the vibration signal spectrum can establish a corresponding relationship between the frequency spectrum of the vibration time signal and the location of the fault signal. If the speed of the unit changes during the vibration signal collecti...

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Application Information

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IPC IPC(8): G01H17/00G01M99/00
Inventor 陶学军初永刚田勇李佳桓保军张举良赵洋苏静
Owner STATE GRID CORP OF CHINA
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