任意不規則騒音・振動波形のピーク値分布に関する一評価理論と実験

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As is well-known, in the usual case of evaluating a random noise or vibration, it is very important to study a statistical characteristics (like the lower order statistical moment (e. g. , mean and variance) and/or the probability distribution form) of peak values from various viewpoints of a psychological effect to people and a control of environmental noise and vibration. Furthermore, it is well aware that the probability distribution of the peak value shows the Rayleigh distribution for a special case with random noise (or vibration) process of the Gaussian type. The actual noise or vibration process, however, dose not always show the typical Gaussian type distribution. In the present paper, from practical viewpoint based on the use of Powell's idea, the probability distribution expression for the peak value is derived in the generalized expansion form of distribution applicable to non-Gaussian stochastic process too. Of course, as a special case when the random noise or vibration process is the Gaussian type, the above theory includes the well-known Rayleigh distribution. Next, the validity of the theory is confirmed both by means of digital simulation and by application to experimentally observed actual road traffic noise. It is a noteworthy fact that the present theory seems te be able to give some kind of theoretical basis to the simplified empirical relationship between L_10 and the expectation of peak values.
社団法人日本音響学会の論文
1981-03-01

任意不規則騒音・振動波形のピーク値分布に関する一評価理論と実験

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