Open Access

EDITORIAL

Roman Vinokur^*
Sound & Vibration, Vol.56, No.4, pp. 293-295, 2022, DOI:10.32604/sv.2022.026300
Abstract This article has no abstract. More >

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ARTICLE

Fereydoon Laal^1,2, Amir Hossein Khoshakhlagh³, Esmaeil Zarei^4,5, Rohollah Fallah Madvari⁶, Somayeh Farhang Dehghan^7,*
Sound & Vibration, Vol.56, No.4, pp. 297-306, 2022, DOI:10.32604/sv.2022.028255
Abstract After controls, including engineering and management, the final way to control noise is to use hearing protection devices. Due to the lack of a standardized questionnaire regarding investigating workers’ use of hearing protection devices on the basis of the BASNEF behavioral model, the present study was conducted to investigate the effect of health education based on the BASNEF model on the use of hearing protection devices in workers of an automobile manufacturing plant in Iran. This quasi-experimental and prospective intervention study was performed on 80 workers at an automobile manufacturing plant who are exposed to noise levels above 85 decibels… More >

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ARTICLE

Zhimin Zhao^1,2, Jie Yan³, Shangbin Wang^1,2, Yuanhao Tie⁴, Ning Feng^1,2,5,*
Sound & Vibration, Vol.56, No.4, pp. 307-317, 2022, DOI:10.32604/sv.2022.028797
Abstract This paper theoretically introduced the feasibility of changing the vibration characteristics of flexible plates by using bio-inspired, extremely light, and powerful Pneumatic Artificial Muscle (PAM) actuators. Many structural plates or shells are typically flexible and show high vibration sensitivity. For this reason, this paper provides a way to achieve active vibration control for suppressing the oscillations of these structures to meet strict stability, safety, and comfort requirements. The dynamic behaviors of the designed plates are modeled by using the finite element (FE) method. As is known, the output force vs. contraction curve of PAM is nonlinear generally. In this present… More >

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ARTICLE

Y. K. Bharath^1,*, S. Veena²
Sound & Vibration, Vol.56, No.4, pp. 319-331, 2022, DOI:10.32604/sv.2022.015634
Abstract This paper presents the development of a dynamic Active Noise Control (ANC) algorithm aimed towards reducing the broadband noise inside the helmet earcups of a fighter aircraft pilot helmet. The dynamic ANC involves a Variable Step-Size Griffiths (VSSG) FxLMS algorithm to attenuate noise entering directly through helmet, a LMS based adaptive noise canceller to attenuate noise entering through the pilot microphone, and energy detectors for failure protection and optimized battery power usage. The algorithms are implemented on Texas Instruments’ TMS320C6748 processor and are tested in a helmet ANC experimental setup. More >

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