ELECTRICAL DEVICE STATE SOUND IDENTIFICATION METHOD CONSIDERING FUSION OF TIME-DOMAIN AND FREQUENCY-DOMAIN FEATURES
An electrical device state sound identification method considering fusion of time-domain and frequency-domain features, comprising the following steps: acquiring and preprocessing sound time-domain data; transforming a time-domain signal into the frequency domain by means of Fourier transform, simul...
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| creator | ZHANG, Hao WANG, Wei LU, Xinxin ZHANG, Hui CHEN, Man DOU, Bowen ZHAO, Zengtao ZHONG, Jianxu TAN, Yikai SHEN, Yan LI, Zhuang SUN, Jianchao HUANG, Fanqi YAO, Jianchao WANG, Xiaoyi YANG, Xipeng CHEN, Honghao LIU, Shigang ZHONG, Xuehui ZHONG, Baoqiang FENG, Zhiyan ZHOU, Yupeng FU, Jianmei HE, Rufei LIN, Weijie PENG, Yumin ZHENG, Chun |
| description | An electrical device state sound identification method considering fusion of time-domain and frequency-domain features, comprising the following steps: acquiring and preprocessing sound time-domain data; transforming a time-domain signal into the frequency domain by means of Fourier transform, simultaneously performing, on the basis of an embedded method, frequency-domain feature selection and algorithm training, and selecting an optimal feature subset; performing time-domain signal feature extraction on the sound original signal by using a wrapper method; filtering and fusing the time-domain features and the frequency-domain features by means of a mutual information method; and establishing a neural network, and, on the basis of the time-domain and frequency-domain fusion signal, identifying a sound state. The present invention reserves important feature information of the time domain and frequency domain and, by means of the embedded method and the wrapper method, reduces the data dimension, and also achiev |
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The present invention reserves important feature information of the time domain and frequency domain and, by means of the embedded method and the wrapper method, reduces the data dimension, and also achiev</description><subject>ACOUSTICS</subject><subject>MUSICAL INSTRUMENTS</subject><subject>PHYSICS</subject><subject>SPEECH ANALYSIS OR SYNTHESIS</subject><subject>SPEECH OR AUDIO CODING OR DECODING</subject><subject>SPEECH OR VOICE PROCESSING</subject><subject>SPEECH RECOGNITION</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNi8EKwjAQRHvxIOo_LHgu2FbBHkOysQttgslG8VSKxJNoof4_RtC7l3kwb2aeTdiiZEdStKDwRBLBs-CUNhgFpNAw6aSZrIEOubEKpDU-GUfmADr4j7EamDrMle0EGRDpqx0eAxp5-ZUaBQeHfpnNbsN9iqsvF9laI8smj-Ozj9M4XOMjvvqzLTfltqj2db0TRfXf6g1razm4</recordid><startdate>20240704</startdate><enddate>20240704</enddate><creator>ZHANG, Hao</creator><creator>WANG, Wei</creator><creator>LU, Xinxin</creator><creator>ZHANG, Hui</creator><creator>CHEN, Man</creator><creator>DOU, Bowen</creator><creator>ZHAO, Zengtao</creator><creator>ZHONG, Jianxu</creator><creator>TAN, Yikai</creator><creator>SHEN, Yan</creator><creator>LI, Zhuang</creator><creator>SUN, Jianchao</creator><creator>HUANG, Fanqi</creator><creator>YAO, Jianchao</creator><creator>WANG, Xiaoyi</creator><creator>YANG, Xipeng</creator><creator>CHEN, Honghao</creator><creator>LIU, Shigang</creator><creator>ZHONG, Xuehui</creator><creator>ZHONG, Baoqiang</creator><creator>FENG, Zhiyan</creator><creator>ZHOU, Yupeng</creator><creator>FU, Jianmei</creator><creator>HE, Rufei</creator><creator>LIN, Weijie</creator><creator>PENG, Yumin</creator><creator>ZHENG, Chun</creator><scope>EVB</scope></search><sort><creationdate>20240704</creationdate><title>ELECTRICAL DEVICE STATE SOUND IDENTIFICATION METHOD CONSIDERING FUSION OF TIME-DOMAIN AND FREQUENCY-DOMAIN FEATURES</title><author>ZHANG, Hao ; 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transforming a time-domain signal into the frequency domain by means of Fourier transform, simultaneously performing, on the basis of an embedded method, frequency-domain feature selection and algorithm training, and selecting an optimal feature subset; performing time-domain signal feature extraction on the sound original signal by using a wrapper method; filtering and fusing the time-domain features and the frequency-domain features by means of a mutual information method; and establishing a neural network, and, on the basis of the time-domain and frequency-domain fusion signal, identifying a sound state. The present invention reserves important feature information of the time domain and frequency domain and, by means of the embedded method and the wrapper method, reduces the data dimension, and also achiev</abstract><oa>free_for_read</oa></addata></record> |
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| title | ELECTRICAL DEVICE STATE SOUND IDENTIFICATION METHOD CONSIDERING FUSION OF TIME-DOMAIN AND FREQUENCY-DOMAIN FEATURES |
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