Hearing loss from interrupted, intermittent, and time varying non-Gaussian noise exposure: The applicability of the equal energy hypothesis

2007 ◽  
Vol 122 (4) ◽  
pp. 2245-2254 ◽  
Author(s):  
Roger P. Hamernik ◽  
Wei Qiu ◽  
Bob Davis
Keyword(s):  
Hearing Loss ◽  
Gaussian Noise ◽  
Noise Exposure ◽  
Time Varying ◽  
Equal Energy ◽  
Non Gaussian

Evaluating worker noise exposure levels in the presence of complex noise

2021 ◽  
Vol 263 (5) ◽  
pp. 1733-1743
Author(s):  
William Murphy ◽  
Wei Qiu ◽  
Meibian Zhang
Keyword(s):  
Hearing Loss ◽  
Gaussian Noise ◽  
Noise Exposure ◽  
Impulsive Noise ◽  
Exposure Level ◽  
Sample Length ◽  
Compensation Factor ◽  
Estimated Risk ◽  
Non Gaussian ◽  
Selection Of

Recent research into the assessment of worker noise exposure has demonstrated that the combination of impulsive noise and continuous noise creates an additional risk of developing noise-induced hearing loss (NIHL). Zhang et al (2021) demonstrated that workers exposed to non-Gaussian noise accumulated NIHL at a faster rate over their careers than worker exposed to Gaussian noise. The kurtosis statistic of the sound pressure distribution provides a means to adjust the estimated risk of hearing loss between exposure groups exposed to different types of noise. This paper will review the results from our recent studies of kurtosis and exposure level. Some unanswered questions involve the selection of a suitable sample length to estimate kurtosis, the selection of a compensation factor to apply, and understanding the differences exhibited in short (less than 10 years) and long-term exposures and kurtosis.

scholarly journals Generalized Automatic Modulation Classification Under Non-Gaussian Noise with Varying SNR Conditions: A CNN Enable Method

2020 ◽  
Author(s):  
Yu Wang ◽  
Guan Gui ◽  
Tomoaki Ohtsuki ◽  
Fumiyuki Adachi
Keyword(s):  
Gaussian Noise ◽  
Signal To Noise Ratio ◽  
Modulation Classification ◽  
Time Varying ◽  
Signal Modulation ◽  
Generalization Capability ◽  
Common Features ◽  
Automatic Modulation Classification ◽  
Simulation Results ◽  
Non Gaussian

Automatic modulation classification (AMC) is an critical step to identify signal modulation types so as to enable more accurate demodulation in the non-cooperative scenarios. Convolutional neural network (CNN)-based AMC is believed as one of the most promising methods with great classification accuracy. However, the conventional CNN-based methods are lack of generality capabilities under time-varying signal-to-noise ratio (SNR) conditions, because these methods are merely trained on specific datasets and can only work at the corresponding condition. In this paper, a novel CNN-based generalized AMC method is proposed, and a more realistic scenario is considered, including white non-Gaussian noise and synchronization error. Its generalization capability stems from the mixed datasets under varying noise scenarios, and the CNN can extract common features from these datasets. Simulation results show that our proposed architecture can achieve higher robustness and generalization than the conventional ones.

Gearbox Fault Identification Under Non-Gaussian Noise and Time-Varying Operating Conditions

2021 ◽  
pp. 1-9
Author(s):  
Stephan Schmidt ◽  
Fakher Chaari ◽  
Radoslaw Zimroz ◽  
P. Stephan Heyns ◽  
Mohamed Haddar
Keyword(s):  
Gaussian Noise ◽  
Operating Conditions ◽  
Fault Identification ◽  
Time Varying ◽  
Non Gaussian

scholarly journals Occupational Hearing Loss from Non-Gaussian Noise

2017 ◽  
Vol 38 (03) ◽  
pp. 223-224
Author(s):  
Mark Stephenson ◽  
Keyword(s):  
Hearing Loss ◽  
Gaussian Noise ◽  
Non Gaussian ◽  
Occupational Hearing Loss

scholarly journals Occupational Hearing Loss Associated With Non-Gaussian Noise

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Zhihao Shi ◽  
Jiena Zhou ◽  
Yuwen Huang ◽  
Yong Hu ◽  
Lifang Zhou ◽  
...  
Keyword(s):  
Hearing Loss ◽  
Gaussian Noise ◽  
Non Gaussian ◽  
Occupational Hearing Loss

scholarly journals Occupational Hearing Loss from Non-Gaussian Noise

2017 ◽  
Vol 38 (03) ◽  
pp. 225-262 ◽  
Author(s):  
Alice Suter
Keyword(s):  
Hearing Loss ◽  
Gaussian Noise ◽  
Animal Experiments ◽  
Animal Research ◽  
Sound Levels ◽  
Exposure Limit ◽  
Ameliorative Effect ◽  
Non Gaussian ◽  
The Time Domain ◽  
Intermittent Noise

Noise levels are truly continuous in relatively few occupations, with some degree of intermittency the most common condition. The sound levels of intermittent noise are often referred to as non-Gaussian in that they are not normally distributed in the time domain. In some conditions, intermittent noise affects the ear differently from continuous noise, and it is this assumption that underlies the selection of the 5-dB exchange rate (ER). The scientific and professional communities have debated this assumption over recent decades. This monograph explores the effect of non-Gaussian noise on the auditory system. It begins by summarizing an earlier report by the same author concentrating on the subject of the ER. The conclusions of the earlier report supported the more conservative 3-dB ER with possible adjustments to the permissible exposure limit for certain working conditions. The current document has expanded on the earlier report in light of the relevant research accomplished in the intervening decades. Although some of the animal research has supported the mitigating effect of intermittency, a closer look at many of these studies reveals certain weaknesses, along with the fact that these noise exposures were not usually representative of the conditions under which people actually work. The more recent animal research on complex noise shows that intermittencies do not protect the cochlea and that many of the previous assumptions about the ameliorative effect of intermittencies are no longer valid, lending further support to the 3-dB ER. The neurologic effects of noise on hearing have gained increasing attention in recent years because of improvements in microscopy and immunostaining techniques. Animal experiments showing damage to auditory synapses from noise exposures previously considered harmless may signify the need for a more conservative approach to the assessment of noise-induced hearing loss and consequently the practice of hearing conservation programs.

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