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Mechanical fault judgment method based on noise test

A technology for mechanical failure and noise testing, applied in vibration testing, testing of mechanical components, testing of machine/structural components, etc., can solve complex, difficult, and noise-polluted problems

Inactive Publication Date: 2013-04-17
CHONGQING TELECOMMUNICATION INSTITUTE
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AI Technical Summary

Problems solved by technology

This is mainly because people think that the sound signal of a machine transmitted through the air contains noise signals and is extremely complex, and it is difficult to avoid signal contamination by noise

Method used

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  • Mechanical fault judgment method based on noise test
  • Mechanical fault judgment method based on noise test
  • Mechanical fault judgment method based on noise test

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Experimental program
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Effect test

Embodiment Construction

[0050] In the fully enclosed, precision-level semi-free sound field anechoic test room, at a position 10cm away from the front of the first cylinder, the noise signal of the 4135 unit was collected with a high-frequency microphone. According to the characteristics of the diesel engine noise signal, the sampling frequency is set at 22.05kHz, and different valve clearance fault acquisition signals are set at different speeds, and the sampling time length is 2s.

[0051] According to the parameter optimization method, Morlet wavelet parameters are optimized, and the threshold value is obtained by the threshold function, and the signal is decomposed into four layers of wavelet packets, and the coefficients are reconstructed after quantization processing to obtain the noise reduction signal S 1 .

[0052] In the time domain, the denoised signal S 1 Statistical analysis shows that the most sensitive parameter is the kurtosis parameter. Again to S 1 Do FFT and PSD analysis to obse...

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Abstract

The invention belongs to the fields of the state monitoring and the fault diagnosis of vehicles, ships, engineering machinery, locomotive cars, engines, and the like by applying noise signals, in particular to a mechanical fault judgment system and method based on noise test, particularly suitable for complicated mechanical machinery which can not be provided with various sensors. The system comprises a high-frequency microphone, a sound card, a PC (Personal Computer) and a telescopic bracket, wherein the high-frequency microphone is fixed on the telescopic bracket and connected with the sound card, the sampling frequency of the high-frequency microphone can meet the requirement of the Nyquist theorem, and the sound card is connected with the PC. On the basis of combing the extraction andfractal algorithm of an energy band, noise signals in machinery operation are acquired and calculated to test mechanical faults by using the method; the system is simple to set, the economic cost is decreased, and the operation safety and the fault diagnosis accuracy are improved.

Description

technical field [0001] The invention belongs to the field of state monitoring and fault diagnosis using noise signals, such as automobiles, ships, engineering machinery, locomotives, generators, etc., and is especially suitable for complex mechanical equipment that cannot be equipped with various sensors. Background technique [0002] The research on mechanical condition monitoring and fault diagnosis technology for running machinery has a long history. The application of vibration signals as the main test and analysis method on internal combustion engines began 20 years ago, and a series of important internal combustion engine test researches based on vibration signals have been completed, while internal combustion engine test analysis based on acoustic signals has not attracted enough attention. attention. This is mainly because people think that the machine sound signal transmitted through the air contains noise signal and is extremely complex, and it is difficult to avo...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01M7/02G01M13/00
Inventor 廖世勇陈军堂程前李海明甘剑锋陈强王华清
Owner CHONGQING TELECOMMUNICATION INSTITUTE
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