| 一种永磁同步电机声品质主观评价方法研究 |
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| 作者姓名： | 王博 王海文 江祖毅 胡溧 龚海清 |
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| 作者单位： | 武汉科技大学汽车与交通工程学院;博格华纳汽车零部件（武汉）有限公司工程中心 |
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| 基金项目： | 国家自然科学基金(51905389)。 |
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| 摘 要： | 对永磁同步电机的稳态信号声品质进行了分析,并以声压级、响度、尖锐度、语音清晰度、波动度、粗糙度和音调度作为评价指标,建立了永磁同步电机声品质评价体系.采用分组成对比较法进行了主观评价,通过Bradley-Terry算法对评价结果进行了优化处理,分别搭建多元线性回归预测模型和MPGA-RBF预测模型,通过预留的检验样本对...
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| 关 键 词： | 永磁同步电机 主观评价 声品质预测 多元线性回归 RBF神经网络 多种群遗传算法 |
Study on Subjective Evaluation Method of Sound Quality for Permanent Magnet Synchronous Motors |
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| Authors: | WANG Bo WANG Haiwen JIANG Zuyi HU Li GONG Haiqing |
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| Institution: | (School of Automotive and Traffic Engineering,Wuhan University of Science and Technology,Wuhan 430065,China;Engineering Center of Borg Warner Auto Parts(Wuhan)Co.,Ltd.,Wuhan 430100,China) |
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| Abstract: | The sound quality of PMSM steady-state signals was analyzed in this paper. The sound pressure level, loudness, sharpness, articulation index, volatility, roughness and tone scheduling were selected as evaluation indicators and then the sound quality evaluation system for permanent magnet synchronous motors was established. Firstly, the grouped pair-wise comparison method was applied for subjective quality assessment. Afterwards, the evaluation results were optimized by adopting the Bradley-Terry equation.Finally the multiple linear regression prediction model and the MPGA-RBF prediction model were built
respectively and tested using the testing samples. The results show that the MPGA-RBF model can accurately predict the outcomes of the sound quality evaluation for permanent magnet synchronous motors. |
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| Keywords: | permanent magnet synchronous motor subjective evaluation sound quality prediction multiple linear regression RBF neural network multi population genetic algorithm |
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