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Vibration Data Analysis of Automobiles

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The Practice of Time Series Analysis

Part of the book series: Statistics for Engineering and Physical Science ((ISS))

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Abstract

Roads have generally random surface undulations, which cause the vertical vibration of automobiles. Those road inputs act on their bodies, suspensions and axles and then have severe effects on the durability of the components and the riding comforts. The concept of the random data process for automobiles has been applied for a long time. The stress occurrence analysis for durability study was previously carried out with scales on pen-oscillograms. The analysis is now automatically executed with advances of electronic devices. Spectral analysis for study on frequency characteristics of vibration and stress has been popular since 1960’s and now becomes one of routine works at engineering divisions with the spread of FFT equipment. ISO/DIS 8608 Mechanical Vibration-Road Surface Profiles-Reporting Measured Data which is the accumulation of measured road surface undulations for the standard property presentation was published. We can evaluate wear of the component materials and the riding comfort through the DIS data. Most of time series data are currently processed through FFT methods for ease of computation. It is still the problem whether the instantaneous values of road surface undulation during running can be obtained with enough accuracy. The frequency response analyses among accelerations and stresses of components during running are usually carried out in practice. The power contribution method is also used in case of feedback system. When the system has human factors, auto-regressive models for short time data are often in consideration of the performance change with time.

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© 1999 Springer-Verlag New York, Inc.

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Yamakawa, S. (1999). Vibration Data Analysis of Automobiles. In: Akaike, H., Kitagawa, G. (eds) The Practice of Time Series Analysis. Statistics for Engineering and Physical Science. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2162-3_14

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  • DOI: https://doi.org/10.1007/978-1-4612-2162-3_14

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-7439-1

  • Online ISBN: 978-1-4612-2162-3

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