Publications by authors named "Yabing Cheng"
Article Synopsis
- - The study focuses on evaluating the sound quality of roller chain transmission systems by collecting and analyzing running noise under various conditions, using both subjective assessments by testers and objective measures using MFCC features.
- - Due to a limited number of high-quality noise samples, a new method called multi-source transfer learning convolutional neural network (MSTL-CNN) is introduced, which leverages knowledge from multiple related tasks to enhance sound quality prediction.
- - Results indicate that MSTL-CNN outperforms traditional sound quality evaluation methods, addressing the challenges associated with small sample sizes in sound quality research.
Polyurethane foam is commonly used in the automobile industry due to its favorable acoustic performances. In this study, a new tung oil-based polyurethane composite foam (TOPUF) was prepared by a one-step method. Different forms and contents of miscanthus lutarioriparius (ML) were used in TOPUF for improving acoustic performance.
View Article and Find Full Text PDFPolyurethane (PU) foams are widely used as acoustic package materials to eliminate vehicle interior noise. Therefore, it is important to improve the acoustic performances of PU foams. In this paper, the grey relational analysis (GRA) method and multi-objective particle swarm optimization (MOPSO) algorithm are applied to improve the acoustic performances of PU foam composites.
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