This paper presents a method based on continuous wavelet transform to detect the faults of vehicle suspension systems. The Morler wavelet functions are employed to approach the natural frequencies of the system and the frequency components of the signal with relative maximum energy. To evaluate our method, we use a full vehicle dynamic model which has been simulated in ADAMS/CAR and validated by laboratory test results. The suspension faults have been considered due to the damage of shock absorbers (dampers) and upper damper bushings (UDBs) and assumed as the decrease in damping force and loose joints, respectively. In this paper, the incapability of the spectral analysis by using fast Fourier transform in analysis of the signals is revealed through applying the inputs that iclude transient chrarcteristics and then wavelet transform empolyed to achieve more proper results. A swept frequency is applied as an input to the wheels that simulates the road irregularities. After detection of faulty sections of the system using signal energy distribution, the defects of damper and UDBs are distinguished from each other through observing the changes of natural frequencies and corresponding energy amplitudes.
Fault detection of vehicle suspension system using wavelet analysis
Fehlererkennung bei einem Fahrzeugfederungssystem unter Anwendung der Wavelet-Transformation
Vehicle System Dynamics ; 47 , 4 ; 403-418
2009
16 Seiten, 22 Bilder, 1 Tabelle, 14 Quellen
Article (Journal)
English
Wavelet-Transformation , Anwendung im Fahrzeugbau , Fehlererkennung , Fahrzeugfederung , mechanische Schwingung , Schwingungsverhalten , Resonanzfrequenz , Schwingungssystem , Simulationsprogramm , Rechnersimulation , Versuchsergebnis , schnelle Fourier-Transformation , Signalenergie , Signalanalyse , Dämpfung , dynamisches Modell , Dämpfungskraft , Federungsverhalten
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