2020
DOI: 10.3390/en13040777
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Evaluation and Improvement of the Sound Quality of a Diesel Engine Based on Tests and Simulations

Abstract: Traditional acoustic evaluation of a diesel engine generally uses the A-weighted sound pressure level (AWSPL) and radiated sound power to assess the noise of an engine prototype present in an experiment. However, this cannot accurately and comprehensively reflect the auditory senses of human subjects during the simulation stage. To overcome such shortage, the Moore–Glasberg loudness and sharpness approach is applied to evaluate and improve the sound quality (SQ) of a 16 V-type marine diesel engine, and synthes… Show more

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Cited by 5 publications
(2 citation statements)
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“…Besides, the spectrum of generated acoustic emission pulses is strictly dependent on phenomena occurring in the macro and microstructure of the material (e.g., the fuel injection pump). The spectral analysis allows us to determine the correlation of signal functions with various frequencies [14,15]. In the case of high correlation (high correlation coefficients for sine or cosine) the occurrence of visible periodicity in the given frequency can be expected.…”
Section: Methodsmentioning
confidence: 99%
“…Besides, the spectrum of generated acoustic emission pulses is strictly dependent on phenomena occurring in the macro and microstructure of the material (e.g., the fuel injection pump). The spectral analysis allows us to determine the correlation of signal functions with various frequencies [14,15]. In the case of high correlation (high correlation coefficients for sine or cosine) the occurrence of visible periodicity in the given frequency can be expected.…”
Section: Methodsmentioning
confidence: 99%
“…In recent years, vehicle sound quality has been extensively studied, such as vehicle interior noise, 1, 2 engine noise, 3,4 door closing sound, 5,6 vehicle suspension shock absorber rattling noise, 7 horn sound, 8 and warning of electric vehicle. [9][10][11] These studies include two major parts: subjective evaluation and objective evaluation.…”
Section: Introductionmentioning
confidence: 99%