基于深度学习的发动机声品质预测模型研究OA北大核心CSTPCD
Research on Engine Sound Quality Prediction Model Based on Deep Learning
为建立发动机辐射噪声品质深度学习预测模型,搭建试验台架采集发动机辐射噪声,计算噪声信号心理学客观参数并进行主观评价试验.采用卷积神经网络(convolution neural net-work,CNN)提取信号特征,引入长短期记忆网络(long short-term memory network,LSTM)模型捕获信号长期依赖信息,利用注意力(Attention)机制使模型自动学习关键特征信息.以心理学客观参数为输入,主观评价得分为输出,建立 C…查看全部>>
In order to develop a deep learning prediction model for the sound quality of engine radiated noise,a test bench was constructed to collect engine radiated noise.The psychological objective parameters of noise signals were determined,and subjective evaluation experiments were conducted.The psychological objective parameters of noise signals were determined,and subjective evaluation experiment was conducted.Signal features were extracted employing convolution…查看全部>>
林旭;梁兴雨;代鹏
青海民族大学 土木与交通工程学院,西宁 810007||天津大学 先进内燃动力全国重点实验室,天津 300072天津大学 先进内燃动力全国重点实验室,天津 300072天津大学 先进内燃动力全国重点实验室,天津 300072
能源与动力
发动机声品质预测模型改进麻雀搜索算法
enginesound qualityprediction modelimproved sparrow search algorithm(ISSA)
《内燃机工程》 2024 (5)
19-27,9
青海省自然科学基金项目(2022-ZJ-757)Natural Science Foundation of Qinghai Province(2022-ZJ-757)
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