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Point switch fault detection device based on acoustics

A fault detection and switch machine technology, applied in the direction of measuring devices, testing of mechanical components, testing of machine/structural components, etc., can solve problems such as inaccurate classification results

Inactive Publication Date: 2021-04-23
ZHENGZHOU RAILWAY VOCATIONAL & TECH COLLEGE
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  • Abstract
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Problems solved by technology

[0005] Aiming at the deficiencies in the prior art, the object of the present invention is to provide a switch machine fault detection device based on acoustics, which effectively solves the problem of inaccurate classification results obtained when using acoustics to detect switch machine faults in the prior art

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  • Point switch fault detection device based on acoustics
  • Point switch fault detection device based on acoustics
  • Point switch fault detection device based on acoustics

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Embodiment Construction

[0022]For the aforementioned and other technical content, characteristics and efficacy of the present invention, with reference to referenceFigure 1-3In the detailed description of the embodiments, it will be clearly presented. The structural content mentioned in the following examples is referenced in the accompanying drawings.

[0023]Each of the exemplary embodiments of the present invention will be described below with reference to the drawings.

[0024]An acoustic-based turning machine fault detection device including an acoustic signal acquisition module, an acoustic signal preprocessing module, an acoustic signal classification module, and the acoustic signal acquisition module is applied to the air near the target switching machine, The acoustic signal preprocessing module and an acoustic signal classification module uses on a server within the mechanical signal in the station, and the mechanical signal chamber starts the acoustic signal acquisition module by the start signal. The...

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Abstract

The invention discloses a point switch fault detection device based on acoustics, and effectively solves the problem that in the prior art, when a point switch fault is detected through acoustics, the obtained classification result is not accurate, and a signal acquisition module acquires an acoustic signal sent after a target point switch is started, and the collected acoustic signals are transmitted to the acoustic signal preprocessing module in a wireless transmission mode, the acoustic signals are preprocessed and then transmitted to the acoustic signal classification module, the signal classification module outputs and displays classification results, and the target switch machine refers to a switch machine for detection. Therefore, the influence on the accuracy of the acoustic signal classification module in acoustic signal classification is avoided, the anti-interference capability of the acoustic signal classification module in actual use is improved, and the phenomenon of lack of preprocessing of the acoustic signals is also avoided.

Description

Technical field[0001]The present invention relates to the field of failure detection, particularly a sound-based swivel stripping failure detecting device.Background technique[0002]In response to the urgency of the high-speed rail system to ensure driving safety, the practice of mechanical faults in the turnover machine, the traditional technology is to monitor the operation current and power value of the turning machine, according to the operation current curve and power value analysis. To determine the failure of the turning machine, this method has problems with insufficient detection techniques, the operation current is not easy to collect and the acquisition process is prone to interference.[0003]Therefore, in the prior art, universities have begun to use acoustic detection to failure in the laboratory, and use SVM to classify the acoustic signal. SVM is a two-point algorithm, that is, the default turning machine is only two In this way, although this method has achieved good r...

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Application Information

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IPC IPC(8): G01H17/00G01M13/00
CPCG01H17/00G01M13/00
Inventor 卢伟韦成杰穆中华占雪梅王秀玄杨靖雅马骅
Owner ZHENGZHOU RAILWAY VOCATIONAL & TECH COLLEGE
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