On the Use and Misuse of Statistical Energy Analysis for Vehicle Noise Control

1993 ◽  
Author(s):  
Juha Plunt ◽  
Claes Fredö ◽  
Michael Sanderson
2014 ◽  
Vol 670-671 ◽  
pp. 1102-1105
Author(s):  
Ju Yue Ding ◽  
Jian Wang Shao

An increasing demand for vehicle noise control has been proposed and at the same time, vehicle weight and fuel economy have become critical for the automotive industry. The methodology of statistical energy analysis (SEA) is used to balance both light weight and high noise insulation performance. In this paper, the floor system which is one of the major paths for vehicle interior noise is studied with two sound package systems, the original floor insulation system and the lightweight one. The vehicle floor system is modeled by SEA and its transmission loss (TL) is analyzed. The results show that under certain sound package coverage, the TL of the floor system with the lightweight sound package is a little larger than the TL with the lightweight one. However, the lightweight sound package system has better absorption property and the advantage of weight reduction. Finally, in order to get the better TL, the sound package design is performed.


2013 ◽  
Vol 787 ◽  
pp. 687-692
Author(s):  
Xiao Zhong Xie ◽  
Lin Chen ◽  
Zhuo Li ◽  
Feng Sun

Based on Statistical Energy Analysis (SEA), this paper studies the influence of fans arrangement to offshore platform noise, analyses the noise distributions of typical offshore platform areas when the inlet fans are arranged in the Main Engine Room and out of it. On this basis, with the aim of optimal noise in platform, this paper carries out optimal design of the fan arrangement and shows it. The study shows that: the noise influence of inlet and exhaust fans arrangement to Main engine room is relatively small. But it is relatively large to the Public area and the Living area around the Main Engine Room. From the view of platform noise control, the inlet and exhaust fans should be arranged in the Main Engine Room.


2017 ◽  
Vol 10 (6) ◽  
pp. 323
Author(s):  
Raffaella Di Sante ◽  
Marcello Vanali ◽  
Elisabetta Manconi ◽  
Alessandro Perazzolo

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