Research of algorithms vibroacoustic diagnostics vehicles

Abstract

Research of algorithms vibroacoustic diagnostics vehicles

V. E. Makhov, D. V. Orlov

Incoming article date: 15.06.2014

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