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声音增强技术在电气仪器仪表计量检定中的应用

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探讨了声音增强技术在电气仪器仪表计量检定中的应用.通过自适应滤波、小波变换、深度学习等信号处理方法,实现了环境噪声过滤、机械部件状态监测、计量检定声学分析.实验表明,应用该技术后,噪声抑制度提升137.3%,振动特征提取准确率提升 23.1%,计量事件识别率提升19.1%,显著提高了计量检定的精度和可靠性.
Application of Sound Enhancement Technology in the Calibration of Electrical Instruments and Meters
This paper discusses the application of sound enhancement technology in the metrological verification of electrical instruments.Through adaptive filtering,wavelet transform,deep learning and other signal processing methods,the acoustic analysis of environmental noise filtering,mechanical component state monitoring and metrological verification is realized.Experiments show that the noise suppression degree,vibration feature extraction accuracy and metering event recognition rate are improved by 137.3%,23.1%and 19.1%respectively,which significantly improves the accuracy and reliability of metering verification.

sound enhancement technologyelectrical instruments and metersmetrological verification

任秀伟

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中国机械总院集团山西机电研究院有限公司,山西 太原 030009

声音增强技术 电气仪器仪表 计量检定

2024

电声技术
电视电声研究所(中国电子科技集团公司第三研究所)

电声技术

影响因子:0.259
ISSN:1002-8684
年,卷(期):2024.48(11)