Method and device for fault diagnosis of hydraulic turbine based on acoustic emission technology

An acoustic emission technology and fault diagnosis technology, which is applied in the direction of using sound waves/ultrasonic waves/infrasonic waves to analyze solids, etc., can solve problems such as methods and devices that can qualitatively and quantitatively diagnose rubbing, cracks, and cavitation cavitation erosion faults. Avoid environmental low-frequency noise interference and facilitate replacement

Inactive Publication Date: 2011-12-28
TSINGHUA UNIV
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Problems solved by technology

[0005] So far, in the application of acoustic emission technology for fault diagnosis of hydraulic turbines at home and abroad, we have not found methods and devices that can qualitatively and quantitatively diagnose rubbing, cracks and cavitation cavitation erosion faults

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  • Method and device for fault diagnosis of hydraulic turbine based on acoustic emission technology
  • Method and device for fault diagnosis of hydraulic turbine based on acoustic emission technology
  • Method and device for fault diagnosis of hydraulic turbine based on acoustic emission technology

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Embodiment Construction

[0025] The principle and specific implementation of the present invention will be further described below in conjunction with the accompanying drawings.

[0026] figure 1 Fault diagnosis flow chart provided for the present invention.

[0027] Preprocessing of acoustic emission signals

[0028] The invention provides an algorithm related to the noise elimination processing of the acoustic emission signal. This algorithm is a morphological filtering method based on mathematical morphology. It uses a morphological transformation algorithm to decompose a signal containing complex components into various parts with physical meaning, so that the signal is separated from the background and maintains its global or local main morphological features. On the basis of fully discussing the selection principles of morphological filter operators and structural elements, the present invention designs a multi-scale hybrid morphological filter to filter out noise and irrelevant harmonic compo...

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Abstract

Water turbine fault diagnosis method and device based on acoustic emission technology, the present invention applies acoustic emission technology to hydraulic turbine set fault diagnosis, obtains the acoustic emission signal on the tail water pipe of the hydraulic turbine and the guide vane of the waterwheel chamber through the acoustic emission sensor, and adopts the shape filtering technology to perform Noise elimination, using the pulse repetition rate to analyze the periodic strength of the acoustic emission signal, and combining the frequency spectrum analysis and the waveform closeness analysis to identify the common friction, crack and cavitation cavitation state, and using the wavelet packet technology to decompose the signal and reconstruction, calculate the sound intensity of acoustic emission, and analyze the trend of sound intensity with working condition parameters such as active power, water head, and guide vane opening, so as to fully understand the operation status and performance of the hydroelectric generator set, and guide the operation of the hydro turbine. run.

Description

technical field [0001] The present invention relates to a method and device for fault diagnosis of mixed-flow, axial-flow, diagonal-flow and other hydraulic turbine generator sets applied in the field of hydroelectric power generation. The method and device use acoustic emission technology, which can detect friction and cracks and cavitation cavitation state for identification. Background technique [0002] Various factors that affect the operation status of hydro turbines, such as mechanical, electrical and hydraulic factors, are complex and interrelated. The three factors are often coupled with each other, making the dynamics and vibration mechanisms of hydro turbines more complicated. Although most hydropower plants have installed Vibration status monitoring and fault diagnosis system, but the traditional vibration diagnosis has many limitations, such as cracks, cavitation and Karman vortex in the flow parts of the turbine, it is difficult to directly monitor the fault po...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N29/12
Inventor 卢文秀褚福磊
Owner TSINGHUA UNIV
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