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A stochastic evaluation for non-stationary random noise over a long time period based on local stationarity and its application to actual acoustics environment

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Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
A non-stationary environmental noise fluctuations can be treated as some composition of local state strips having arbitrary fluctuating pattern in a locally stationary time period. Its non-stationary characteristics can be seen in the form of its changing stage from a locally stationary state to another one by means of its temporal change of probability distribution. For a non-stationarity with continuously slow temporal change, the noise evaluation method is derived by considering the temporal change of moment statistics or distribution parameters. On the other hand, for a non-stationarity with stepwise rapid variation like an ON/OFF operation of machine, the noise evaluation method is derived by considering in principle the occurring probability of each of locally stationary state based on the mutually exclusive property. In the experimental consideration, the above contrastive two evaluation methods have been applied to actual cases with slowly changing environmental noise and rapidly changing machine noise.
Słowa kluczowe
Rocznik
Strony
175--189
Opis fizyczny
Bibliogr. 14 poz., rys., tab., wykr.
Twórcy
autor
  • Faculty of Engineering, Kinki University, 1 Umenobe, Takaya, Higashi-Hiroshima City, 739-2116 Japan
autor
  • Hiroshima University, 1106, Matoba 1-7-10, Minami-Ku, Hiroshima City, 732-0824 Japan
Bibliografia
  • [1] [Ed.] Inst. of Architecture of Jpn., Noise evaluation methods, Sho-koku-sha, Tokyo, 1981.
  • [2] J. H. Laning and R. H. Battin, Random processes in automatic control, McGraw-Hill Book Co., 1956.
  • [3] M. B. Priestley, Spectral analysis and time series, Academic Press, 1981.
  • [4] D. Middleton, An introduction to statistical communication theory, McGraw-Hill Book Co., 1960.
  • [5] R. F. Pawula, Generalization and extensions of the Fokker-Planck-Kolmogorov equations, IEEE Transactions on Information Theory, IT-13 (1), 33-41 (1967).
  • [6] M. Ohta, A unified study on the nonstationary property of Gaussian random process and its digital simulation, Trans. IECE Jpn., 54-C (10), 885-892 (1971).
  • [7] M. Ohta, K. Nishimura and K. Hatakeyama, A prediction method for the probability distribution of random waves based on the non-stationary property of energy statistics, Theor. and Appl. Mechanics, 33, 455-465 (1985).
  • [8] M. Ohta, S. Yamaguchi and K. Nishimura, An evaluation method for nonstationary random noise in view of temporal change of statistical moments (General theory and its application to probabilistic estimation problem of road traffic noise), Journal of Acoust. Soc. Jpn (E), 5 (4), 223-231 (1984).
  • [9] C. G. Don and I. G. Rees, Road traffic sound level distributions, J. Sound Vib., 100, 41-53 (1985).
  • [10] K. Nishimura, M. Ohta and T. Fukuda, A multivariate probabilistic evaluation on the output response of linear system with nonstationary noise and its application to the acoustic insulation system, Trans. IEICE Jpn., E73 (3), 365-372 (1990).
  • [11] M. Ohta and T. Koizumi, General statistical treatment of response of nonlinear rectifying device to stationary random input, IEEE Trans. IT, IT-14, 595-598 (1968).
  • [12] M. Ohta and K. Nishimura, A signal processing method of nonstationary stochastic response on a power scale for the actual sound insulation systems, Trans. IEICE Jpn., E76-A (8), 1293-1299 (1993).
  • [13] M. Ohta, A. Ikuta K. Hatakeyama and H. Ogawa, A practical determination of an optimal order of state probability distribution expression with hierarchical expansion form observed in the actual sound and vibration environments, J. Aoust. Soc. Jpn. (E), 21, 4, 191-197 (2000).
  • [14] M. Ohta and N. Takaki, Some noise cancellation methods on the response probability distribution form complicated sound wall systems with background noise, Archives of Acoustics, 26, 4, 293-304 (2001).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAT3-0004-0046
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