Method for feature extraction of hydroelectric generating set vibration fault

A generator set and feature extraction technology, which is applied to measuring devices, instruments, and measurement of ultrasonic/sonic/infrasonic waves, etc., can solve the problem of difficult identification of vibration faults in hydroelectric generator sets, so as to weaken mutual influence and ensure safety and stability Operation, the effect of suppressing noise interference

Inactive Publication Date: 2017-06-27
XIAN UNIV OF TECH
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Problems solved by technology

[0005] The purpose of the present invention is to provide a feature extraction method for the vibration fault of a hydroelectric generating set, which combines fast independent component analysis and ensemble empirical mode decomposition and

Method used

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  • Method for feature extraction of hydroelectric generating set vibration fault
  • Method for feature extraction of hydroelectric generating set vibration fault
  • Method for feature extraction of hydroelectric generating set vibration fault

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Embodiment

[0216] Figure 5 It is the swing signal of the guide bearing actually collected from a hydropower station. It comes from the upper lead X, Y and the lower lead X, Y in turn from top to bottom; the unit speed of the hydropower station is 150r / min, the sampling frequency is 500Hz, and the number of sampling points Take 1024; by Figure 5 It can be seen that due to the influence of noise and the mutual interference between signals, the fault signal has been completely submerged and difficult to identify.

[0217] In order to illustrate the practicability of the method of the present invention, this method and the EEMD method are respectively used to process the measured signal, and the Image 6 and Figure 7 It can be seen that the method of the present invention can effectively extract the 0.5-frequency characteristic signal caused by hydraulic factors, the 1-fold and 2-fold frequency characteristic signals caused by mechanical factors, and the 50Hz weak characteristic signal ...

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Abstract

The invention discloses a method for feature extraction of a hydroelectric generating set vibration fault. The method specifically includes the following steps: 1. using a Fast ICA(fast independent component analysis) method to process an original signal; 2. after Step 1, performing EEMD (ensemble empirical mode decomposition) on y in sequence; 3. after Step 2, calculating normalized energy and a normalized correlation coefficient of all IMFs (intrinsic mode functions) corresponding to y, and giving a corresponding energy threshold T and a system threshold epsilon; 4. after Step 3, selecting IMFs which satisfy requirements of the energy threshold T and the system threshold epsilon among x, taking a union set of the two as final effective IMFs, and performing reconstruction; and 5. after Step 4, finding out characteristic signals capable of representing set vibration from reconstruction signals. The method for feature extraction of a hydroelectric generating set vibration fault applies Fast ICA to feature extraction of hydroelectric generating set vibration signals, and solves the problem that a vibration fault in the hydroelectric generating set is difficult to accurately identify.

Description

technical field [0001] The invention belongs to the technical field of extraction methods, and relates to a feature extraction method for vibration faults of hydro-generator sets. Background technique [0002] The hydro-generator unit is very important in the hydropower plant, and its operation status is directly related to the safe and reliable operation of the whole system, so it is necessary to strengthen its condition monitoring and fault diagnosis. Vibration problems are very common in hydroelectric units, so they can be used as an important indicator to evaluate the operating status of the unit. However, due to the fact that various vibration faults may occur at the same time in the actual operation of the unit, these fault signals will affect and interfere with each other, and due to the existence of noise interference, the early and weak vibration signals will be completely submerged, and their waveforms will also appear distorted , so that the real fault informatio...

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Application Information

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IPC IPC(8): G01H17/00
CPCG01H17/00
Inventor 贾嵘赵佳佳张惠智武桦党建董开松
Owner XIAN UNIV OF TECH
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