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  • Diagnostics vibration nodes vehicles by wavelet analysis focused optical image borders

    Background. Methods vibrodiagnostics allow to identify the emergence and development of de-fects at an early stage. Of particular relevance is the use of vibrodiagnostic methods for condition monitoring mechanisms under the simultaneous influence many unpredictable factors, varying operating conditions. The vibration causes blurring the boundaries of the focused image, allow-ing you to build a simple compact optical vibration sensor. (Materials and / or methods). Vibro-diagnostics used method for detecting focused optical im-age nodes being monitored. Determination of vibration parameters produced by wavelet analysis of the luminance distribution boundaries of the focused image. (Results). It is shown that the periodic movement of give in the image boundaries bends function (maxima of the second derivative). Character kinks function determined by the change speed of the change of the image boundaries. Continuous wavelet transform of the luminance distribution on the border of the image at a certain level amplitude vibrations cause the appearance of two maxima curves continuous wavelet transform, the amount of which is reduced proportionally. (Conclusion). Theoretical and experimental studies have shown that the optical image registra-tion allows you to register with the sensitivity of the vibration amplitude of 0.1 - 0.15 pixel ma-trix photo detector. For a pixel size of about 5 microns, a linear increase in the order of the opti-cal system 20 sensitivity in amplitude of vibration may reach values of 0.02 microns, which cor-responds to the sensitivity is achieved by holographic interferometry.

    Keywords: motor vehicle diagnostics units of vehicles, vibration diagnostics, vibration, continuous wavelet transform (CWT)

  • Research of algorithms vibroacoustic diagnostics vehicles

    With the growing fleet's increasingly acute problem arises safety and reliability their exploitation as a result of this increase in productivity and accuracy of their technical diagnostics. Urgent task to further improve diagnosis for vehicles is to develop new methods and algorithms highlight the dominant component of the information in relation to a wide class of vehicles. The methods joint time-frequency and wavelet analysis. To isolate the dominant component of the information proposed to use the method of wavelet decomposition. Using vibro acoustic registration nodes vehicles funds allowed to receive signals carrying information about the defects of individual units of vehicles. The proposed decoding algorithms signals have high reliability, allow technical inspection, subsequent monitoring of the technical state of the vehicle. Using vibroacoustic registration of vehicles allowed nodes receive signals carry-ing information about the defects of individual units of vehicles. The proposed decoding algorithms signals have high reliability, allow technical inspection, subsequent monitoring of the technical state of the vehicle.

    Keywords: vehicle, vibroacoustic diagnostics, dominant information, time-frequency analysis, wavelet analysis