Energy Characteristics of Secondary Vortical Domain of Axisymmetric Hydrodynamic Sound Source

2004 ◽  
Vol 31 (1) ◽  
pp. 65-73
Author(s):  
Yu. M. Dudzinskii ◽  
A. A. Nazarenko
Keyword(s):  
Sound Source ◽  
Energy Characteristics

scholarly journals CALCULATION OF IMPULSE NOISE WITH MIRROR-DIFUSE REFLECTION OF SOUND FROM FENCES

Akustika ◽  
2019 ◽  
Vol 34 ◽  
pp. 88-94
Author(s):  
Alexander Antonov ◽  
Irina Matveeva ◽  
Igor Shubin ◽  
Ilya Tsukernikov
Keyword(s):  
Comparative Analysis ◽  
Computational Model ◽  
Sound Source ◽  
Impulse Noise ◽  
Noise Source ◽  
Energy Characteristics ◽  
Sound Energy ◽  
Computational Data ◽  
Spatiotemporal Changes ◽  
Spatio Temporal

The choice and acoustic efficiency of construction and acoustic means of noise control is determined on the basis of calculations of changes in the spatio-temporal characteristics of the pulses of sound energy emitted by the sound source. The paper proposes a combined computational model for estimating the energy characteristics of pulse noise and their spatiotemporal changes. The model describes the formation and distribution of the reflected sound energy of pulses in the mirror-scattered reflection of sound from the fences. The principles of construction of the computational model and the computer program implementing it are stated. Evaluation of the computational model is performed by comparative analysis of experimental and computational data obtained by the action of a pulsed noise source in complex geometrically shaped rooms. It is found that the calculated graphs of the decay of the reflected pulse energy in time coincide with the experimentally determined declines.

Role of pinnae and head movements in localizing pure tones 1The authors would like to thank Mr. Remi Humbert for implementing the experiment in Turbo Pascal and for his further assistance.

1999 ◽  
Vol 58 (3) ◽  
pp. 170-179 ◽  
Author(s):  
Barbara S. Muller ◽  
Pierre Bovet
Keyword(s):  
Sound Source ◽  
Head Movement ◽  
Movement Analysis ◽  
Head Movements ◽  
Sound Sources ◽  
Localization Accuracy ◽  
Sound Effects ◽  
Posterior Quadrant ◽  
Localization Performance ◽  
Pure Tones

Twelve blindfolded subjects localized two different pure tones, randomly played by eight sound sources in the horizontal plane. Either subjects could get information supplied by their pinnae (external ear) and their head movements or not. We found that pinnae, as well as head movements, had a marked influence on auditory localization performance with this type of sound. Effects of pinnae and head movements seemed to be additive; the absence of one or the other factor provoked the same loss of localization accuracy and even much the same error pattern. Head movement analysis showed that subjects turn their face towards the emitting sound source, except for sources exactly in the front or exactly in the rear, which are identified by turning the head to both sides. The head movement amplitude increased smoothly as the sound source moved from the anterior to the posterior quadrant.

Target Detection in a Scenario of Natural Sounds: The Role of Spatial Sound Source Separation

2013 ◽  
Author(s):  
Susanne Mayr ◽  
Gunnar Regenbrecht ◽  
Kathrin Lange ◽  
Albertgeorg Lang ◽  
Axel Buchner
Keyword(s):  
Target Detection ◽  
Sound Source ◽  
Source Separation ◽  
Natural Sounds ◽  
Sound Source Separation ◽  
Spatial Sound

It's only real if you see it: Surround system based 3D sound source modelling in virtual reality

2013 ◽  
Author(s):  
Agoston Torok ◽  
Daniel Mestre ◽  
Ferenc Honbolygo ◽  
Pierre Mallet ◽  
Jean-Marie Pergandi ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Sound Source ◽  
3D Sound

Helicopter main reduction planetary gear fault diagnosis method based on SVDD

2020 ◽  
Vol 64 (1-4) ◽  
pp. 137-145
Author(s):  
Yubin Xia ◽  
Dakai Liang ◽  
Guo Zheng ◽  
Jingling Wang ◽  
Jie Zeng
Keyword(s):  
Fault Diagnosis ◽  
Planetary Gear ◽  
Gaussian Kernel ◽  
Support Vector ◽  
Support Vector Data Description ◽  
Vector Data ◽  
Energy Characteristics ◽  
Gear Fault ◽  
Channel Information ◽  
Diagnosis Method

Aiming at the irregularity of the fault characteristics of the helicopter main reducer planetary gear, a fault diagnosis method based on support vector data description (SVDD) is proposed. The working condition of the helicopter is complex and changeable, and the fault characteristics of the planetary gear also show irregularity with the change of working conditions. It is impossible to diagnose the fault by the regularity of a single fault feature; so a method of SVDD based on Gaussian kernel function is used. By connecting the energy characteristics and fault characteristics of the helicopter main reducer running state signal and performing vector quantization, the planetary gear of the helicopter main reducer is characterized, and simultaneously couple the multi-channel information, which can accurately characterize the operational state of the planetary gear’s state.

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