Computational Process for Wind Noise Evaluation of Rear-View Mirror Design in Cars

2014 ◽  
Author(s):  
L.A.Raghu Mutnuri ◽  
Sivapalan Senthooran ◽  
Robert Powell ◽  
Zen Sugiyama ◽  
David Freed
Keyword(s):  
Computational Process ◽  
Wind Noise ◽  
Rear View Mirror ◽  
Noise Evaluation

A Computational Process to Effectively Design Seals for Improved Wind Noise Performance

2019 ◽  
Author(s):  
Nicholas Oettle ◽  
Robert Powell ◽  
Sivapalan Senthooran ◽  
Philippe Moron
Keyword(s):  
Computational Process ◽  
Noise Performance ◽  
Wind Noise

A Computational Process for Early Stage Assessment of Automotive Buffeting and Wind Noise

2013 ◽  
Vol 6 (2) ◽  
pp. 1231-1238 ◽  
Author(s):  
Ganapathi Balasubramanian ◽  
L.A.Raghu Mutnuri ◽  
Zen Sugiyama ◽  
Sivapalan Senthooran ◽  
David Freed
Keyword(s):  
Early Stage ◽  
Computational Process ◽  
Wind Noise

Noise evaluation of small airfields

1999 ◽  
Vol 47 (4) ◽  
pp. 125-132
Author(s):  
Per V. Bruel
Keyword(s):  
Noise Evaluation

scholarly journals Annoyance evaluation of noise emitted by urban substation

2021 ◽  
pp. 146134842110143
Author(s):  
Li Jun ◽  
Li Li ◽  
Zhang Yongxiang ◽  
Chu Zhigang ◽  
Fan Xiaopeng
Keyword(s):  
Regression Model ◽  
Urban Areas ◽  
Subjective Evaluation ◽  
Noise Pollution ◽  
Objective Evaluation ◽  
Semantic Differential ◽  
Differential Method ◽  
Practical Application ◽  
Noise Evaluation ◽  
Objective And Subjective Evaluation

In China, noise pollution from substations in urban areas is becoming more and more serious. An annoyance evaluation of the noise emitted by urban substations is presented. First, the subjective evaluation is conducted on the noise samples from urban substations via the semantic differential method. Subsequently, according to the typical characteristics of urban substation noise, 14 acoustical metrics are used to describe the noise samples for objective evaluation. Then the correlation analysis and regression analysis between the objective and subjective evaluation results are carried out. Finally, a regression model for urban substation noise evaluation is established. Practical application shows that the regression model can correctly predict the subjective annoyance of urban substation noise.

Using Spherical Beamforming to Evaluate Wind Noise Paths

2014 ◽  
Author(s):  
Mauricio Massarotti ◽  
Yuri Ribeiro ◽  
Márcio Calçada
Keyword(s):  
Wind Noise
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