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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References
Aisaka, M. et al. (1993), “Study on stationary random oscillations of engine mouting system with vibration stopper,” SAEJ Annual Meeting Preprint, 993, 113–116 (in Japanese).
Akaike, H. (1970), “On a semi-automatic power spectrum estimation procedure,” Proceedings of 3rd Hawaii International Conference on System Sciences, 974–977.
Akaike, H. (1973), “Information theory and an extension of the maximum likelihood principle”, 2nd International Symposium in Information Theory (Petrov, B. N. and Csaki, F. eds., Akademiai Kiado, Budapest, 267–281. (Reproduced in Breakthroughs in Statistics, Vol. 1, S. Kotz and N. L. Johnson, eds., Springer Verlag, New York, 1992)
Akaike, H. (1964), “Introduction to probability and Fourier transform,” Short Course Textbook, Institute of Statistical Mathematics (in Japanese).
Akaike, H. and Nakagawa T. (1972), “Statistical analysis and control of dynamic system,” Science Inc. (in Japanese (English translation is published from Kluwer Academic Publishers in 1988.))
Kitagawa, G. (1986), “Trend of spectral analysis,” Measurement and Control, Vol. 25, No. 12, 1074–1081 (in Japanese).
Noguchi, Y. et al. (1993), “Study of a method for evaluation handling of bus by measuring drivers psychological reaction,” AVEC ′94, 67–72.
Ozaki, T. and Tong, H. (1975), “On the fitting of non-stationary autoregressive models analysis,” Proceedings of 8th Hawaii International Conference on System Science, 224–226.
Rice S. O. (1944), Mathematical analysis of random noise,” Bell Technical Journal, 23-3, 282, and
Rice S. O. (1945), Mathematical analysis of random noise,” Bell Technical Journal, 24-1, 46–156.
Soma H. et al. (1993), “Identification of vehicle dynamics under lateral wind distribution using autoregressive model,” SAE Paper 931894, IPC-7.
Yamakawa S. (1971), “Nonlinear vibrations of axles of automobiles moving over rough roads,” Proceedings of US-Japan Seminar on Stochastic Methods in Dynamical Problem,” 6.1, 1–20.
Yamakawa, S. (1973), “Statistical process of random vibration,” 374th Short Course Textbook, JSME (in Japanese).
Yamakawa, S. (1976), “Investigation of peculiarity in some wave-forms through bis-pectral analysis,” Bulletin of the JSME, Vol. 19, No. 127, 29–36.
Yamakawa, S. (1983), “Separation of correlated power components in a multiple input system by means of power contribution analysis,” Bulletin of the JSME, Vol. 49, No. 449, 2061–2067 (in Japanese).
Yamakawa, S. (1985), “Vibration test and data analysis,” 594th Short Course Textbook, JSME (in Japanese).
Yamakawa, S. (1990), “Analysis of automotive acceleration noise data,” SAEJ Annual Meeting Preprint, 902, 2, 233–236.
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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
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