This paper presents a method based on continuous wavelet transform to detect the faults of vehicle suspension systems. The Morlet 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 include transient characteristics and then wavelet transform employed 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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Fault detection of vehicle suspension system using wavelet analysis


    Contributors:

    Published in:

    Vehicle System Dynamics ; 47 , 4 ; 403-418


    Publication date :

    2009-04-01


    Size :

    16 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Fault detection of vehicle suspension system using wavelet analysis

    Azadi, Shahram / Soltani, Abbas | Tema Archive | 2009


    Fault detection of vehicle suspension system using wavelet analysis

    Azadi,S. / Soltani,A. / Khajeh Nasireddin Tousi Univ.of Technol.,IR | Automotive engineering | 2009



    Application of Wavelet Analysis to the Suspension System Fault Detection of a Vehicle

    Soltani, Abbas / Azadi, Shahram | SAE Technical Papers | 2007


    Application of wavelet analysis to the suspension system fault detection of a vehicle

    Azadi,S. / Soltani,A. / K.N.Toosi Univ.of Technol.,IR | Automotive engineering | 2007