Abstract
According to the trend of giving high quality to industrial machinery, designers are being required to improve the tonal impression of this machinery because of the social consensus on the preserving our living atmosphere, as well as cars and air conditioners. However, it is very difficult to evaluate unstable noise, e.g. impulsive or intermittent noise, due to the lack of sensory scalings, in contrast with the other machine's performance, which can be apparent by measuring its physical quantities. On this study, authors have researched on evaluation method composed by human auditory mechanism, and investigated the relation between tonal noisiness and firing-rates generated by gammatone filterbank and Meddis's hair-cell model for the operation noise of forklift truck. Then this evaluation results show that the correlation can be considered good enough to estimate noisiness of unsteady noise. This paper deals with the results of noisiness analysis and a numerical firing-rates simulation for predicting precise noisiness and controlling machinery noise.
