Online Database of Industrial Noise Sources

2020 ◽  
pp. 165-171
Author(s):  
Tanja Miodragović ◽  
Mladen Rasinac ◽  
Jelena Tomić ◽  
Branko Radičević
Keyword(s):  
Online Database ◽  
Noise Sources ◽  
Industrial Noise

scholarly journals Innovative techniques for the improvement of industrial noise sources identification by beamforming

Noise Mapping ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 129-137
Author(s):  
Giorgio Baldinelli ◽  
Francesco Bianchi ◽  
Danilo Costarelli ◽  
Francesco D’Alessandro ◽  
Flavio Scrucca ◽  
...  
Keyword(s):  
Image Processing ◽  
Noise Source ◽  
Focal Length ◽  
Noise Sources ◽  
Geometric Information ◽  
Industrial Noise ◽  
Sources Identification ◽  
Innovative Technique ◽  
Innovative Techniques

Abstract An innovative technique based on beamforming is implemented, at the aim of detecting the distances from the observer and the relative positions among the noise sources themselves in multisource noise scenarios. By means of preliminary activities to assess the optical camera focal length and stereoscopic measurements followed by image processing, the geometric information in the source-microphone direction is retrieved, a parameter generally missed in classic beamforming applications. A corollary of the method consists of the possibility of obtaining also the distance among different noise sources which could be present in a multisource environment. A loss of precision is found when the effect of the high acoustic reflectivity ground interferes with the noise source.

Exposure to industrial noise: impacts on cognitive performance

2021 ◽  
Vol 263 (4) ◽  
pp. 2590-2600
Author(s):  
Luiz Henrique Mesa Casa Pereira ◽  
Björn Knöfel ◽  
Jan Troge ◽  
Welf-Guntram Drossel ◽  
Marcel Klein ◽  
...  
Keyword(s):  
Cognitive Performance ◽  
Noise Analysis ◽  
Low Frequency ◽  
Cumulative Effect ◽  
Noise Sources ◽  
Industrial Noise ◽  
Sound Levels ◽  
Office Environments ◽  
High Sound ◽  
High Frequency Content

Research on the relation between exposure to noise and cognitive performance inside industrial environments is not as broad as on office environments. For a better understanding of the specific industrial noise problems, participants performed arithmetic tests inside a hemi anechoic room while they were exposed to sounds of five typical industrial noise sources. The subjects also classified how annoying they perceived the noise signals. The effect of noise on the arithmetic test's performance was larger on accuracy than on velocity, which was verified using a Student t-test. Spectral-temporal characteristics - especially high frequency content and strong low frequency modulation - appear to relate better with lower performance on the test than high sound levels. Subjects that evaluated noise as more annoying performed worse in a final arithmetic test (under silence) after being exposed to the noises, indicating a possible cumulative effect of noise on performance. The findings provide a better insight in the cognitive behavior of people who are exposed to industrial noise. Hence, the study will proceed with the specific noise analysis of single industrial workplaces.

scholarly journals Features of the acoustic situation in the operation of weapons and military equipment in the Armed Forces

2018 ◽  
Vol 20 (3) ◽  
pp. 105-110
Author(s):  
V V Dvoryanchikov ◽  
I M Akhmetzyanov ◽  
I V Mironov ◽  
E K Gavrilov ◽  
V N Zinkin ◽  
...  
Keyword(s):  
Russian Federation ◽  
High Intensity ◽  
Occupational Diseases ◽  
Noise Exposure ◽  
Armed Forces ◽  
Physical Factors ◽  
Noise Sources ◽  
Industrial Noise ◽  
Military Equipment ◽  
The Russian Federation

Currently, a system of measures to combat the harmful effects of industrial noise on workers has been created in the healthcare of the Russian Federation. However, the level of specific and non-specific morbidity due to industrial noise does not decrease, and the frequency of occupational diseases even tends to increase. This is due to several reasons, including a large number of noise sources, insufficient quality of medical examinations, the absence and low efficiency of the personal noise protection and others. Noise occupies one of the leading places among the harmful physical factors in the Armed forces of the Russian Federation. Therefore, it is necessary to systematize information about acoustic sources of high intensity in the Armed forces, which will reveal several features of the acoustic situation in the workplaces. The features of the noise generated during the operation of weapons and military equipment include high intensity, non-permanent nature, the presence in the spectrum of low and infrasonic frequencies. The presented data show the diversity of sources of noise in the Armed forces, generating noise and infra-sound of sufficiently high levels. The widespread occurrence of noise sources in the military contributes to the high acoustic load of a large number of servicemen. Noise exposure leads to the development of the servicemen of the disease in the first turn of the organ of hearing, increased General and occupational diseases. The direct effect of noise and the development of noise pathology contributes to the reduction of military-professional performance and reliability. Unfavourable acoustic conditions at the workplaces of military personnel require preventive measures. The noise generated by the operation of military equipment creates discomfort for the population and a threat to the environment. Environmental impacts of acoustic oscillations on the natural environment was studied in connection with the training and combat activities of troops in places of permanent deployment and at the sites located near human settlements. It is established that several million people are exposed to noise in our country. Sources of noise affecting the population are industrial and military facilities and road, rail and, especially, air transport. The problem of acoustic pollution of the environment in the operation of weapons and military equipment is one of the priority environmental problems facing the Armed forces.

Measurement methodology for sound power levels of industrial noise sources

1999 ◽  
Vol 105 (2) ◽  
pp. 1334-1334
Author(s):  
Willy Bruyninckx ◽  
Luc Kelders ◽  
Walter Lauriks ◽  
Jan Thoen
Keyword(s):  
Sound Power ◽  
Noise Sources ◽  
Industrial Noise ◽  
Measurement Methodology

scholarly journals Mathematical models for the improvement of detection techniques of industrial noise sources from acoustic images

2021 ◽  
Author(s):  
Francesco Asdrubali ◽  
Giorgio Baldinelli ◽  
Francesco Bianchi ◽  
Danilo Costarelli ◽  
Francesco D'Alessandro ◽  
...  
Keyword(s):  
Mathematical Models ◽  
Noise Sources ◽  
Industrial Noise ◽  
Detection Techniques ◽  
Acoustic Images

Noise annoyance indicators for various industrial noise sources: Results and comparisons

2008 ◽  
Vol 123 (5) ◽  
pp. 3811-3811
Author(s):  
Marion Alayrac ◽  
Stéphanie Viollon ◽  
Catherine Marquis‐Favre
Keyword(s):  
Noise Sources ◽  
Industrial Noise ◽  
Noise Annoyance

scholarly journals Cumulative Industrial Noise Impact on the Environment

2017 ◽  
Vol 42 (2) ◽  
pp. 169-174 ◽  
Author(s):  
Tadeusz Wszołek
Keyword(s):  
Case Studies ◽  
Computational Methods ◽  
Methodological Approach ◽  
Noise Levels ◽  
Main Subject ◽  
Noise Sources ◽  
Industrial Noise ◽  
Limit Value ◽  
Noise Impact ◽  
Noise Evaluation

Abstract The paper presents basic legal conditions, applicable to the calculation of cumulative noise levels in the environment with indication mainly on lack of detailed regulations both in formal and methodological approach for evaluating those levels. The paper is focused on methodological approach with the emphasison analysis of existing case studies in the industry. The main subject of the analysis is the cumulation of industrial noise sources: newly designed and existing ones, together with a proposal of accumulate other types of the noise. Evaluation of cumulative noise levels for new (designed) objects is realised by computational methods, and for existing objects, by measurements or by combination of measurement and computational methods. It is assumed that the cumulative level is an energetic sum of the rating levels for all installations and it will not exceed the limit value in a given place. For the cumulation of different noise sources, the weighting for criterion values of these sources will be applied in aggregation.

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