Validation of a numerical model for the prediction of the annoyance condition at the operator station of construction machines

It is well-known that the reduction of noise levels is not strictly linked to the reduction
of noise annoyance. Even earthmoving machine manufacturers are facing the problem of customer
complaints concerning the noise quality of their machines with increasing frequency. Unfortunately,
all the studies geared to the understanding of the relationship between multidimensional
characteristics of noise signals and the auditory perception of annoyance require repeated sessions
of jury listening tests, which are time-consuming. In this respect, an annoyance prediction model
was developed for compact loaders to assess the annoyance sensation perceived by operators at
their workplaces without repeating the full sound quality assessment but using objective parameters
only. This paper aims at verifying the feasibility of the developed annoyance prediction model when
applied to other kinds of earthmoving machines. For this purpose, an experimental investigation was
performed on five earthmoving machines, different in type, dimension, and engine mechanical power,
and the annoyance predicted by the numerical model was compared to the annoyance given by
subjective listening tests. The results were evaluated by means of the squared value of the correlation
coefficient, R2, and they confirm the possible applicability of the model to other kinds of machines.