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- W2219752048 abstract "To make the unmanned power substation perform independently and efficiently, the theory and structure of a real-time monitoring system based on audio recognition is introduced in this paper. It focuses on the monitoring and identification process of audio data. Firstly the audio signal of substation is acquired by system using sensors. Then multi-audio data is transmitted to monitoring host. After spectrum analysis and process, MFCC feature parameters are extracted as signal features. Feature parameters are inputted into sinusoidal neural network for identification which can identify the operating status and type of failure efficiently and precisely. Numerical results illustrate that this method improves the traditional manual monitoring method and significantly increases the efficiency of device detection." @default.
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- W2219752048 date "2015-01-01" @default.
- W2219752048 modified "2023-09-26" @default.
- W2219752048 title "Real-Time Monitoring of Unmanned Substation Based on Audio Recognition" @default.
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- W2219752048 doi "https://doi.org/10.2991/icmmita-15.2015.272" @default.
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