多种应用场景下超声信号频响特征数据集
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本数据集为《多种应用场景下超声信号频响特征数据集》，主要面向多介质声学传感机理研究与电力设备状态监测/工业安全超声检测算法等需求建设。数据来源于2022年11月–2025年10月在上海大学、中科院电工所、国网江苏电力等实验场地开展的实验平台，基于项目组研制的EFPI光纤声传感器及高精度解调/示波采集系统产生。数据生成方法包括油液局放抽真空前后对比、可燃气体环境局放脉冲采集、水下不同频率超声激励的频响测试，并经FFT等处理形成图谱。主要内容记录油中局放超声脉冲波形与对比图、气体环境局放脉冲原始时域序列、水下不同频率超声信号频响特征图谱等观测值；数据格式为PNG与CSV，文件构成为油液PNG 16个、气体CSV 10个、水下PNG 14个（共约40个文件），总体体量约38 MB。
Dataset of Ultrasonic Signal Frequency Response Characteristics across Multiple Application Scenarios. This dataset was developed to meet research needs including multi-medium acoustic sensing mechanism studies, power equipment condition monitoring, industrial safety ultrasonic detection algorithms, and other related applications. The data was collected between November 2022 and October 2025 from experimental platforms at sites such as Shanghai University, Institute of Electrical Engineering of the Chinese Academy of Sciences, and State Grid Jiangsu Electric Power Co., Ltd., using EFPI fiber-optic acoustic sensors and high-precision demodulation/oscilloscope acquisition systems developed by the project team. Data generation methods include comparison of partial discharge (PD) signals in oil before and after vacuum pumping, collection of PD pulse signals in flammable gas environments, and frequency response tests of ultrasonic excitation with different frequencies underwater, followed by processing via Fast Fourier Transform (FFT) and other signal processing techniques to generate characteristic response maps. The main recorded observational data covers ultrasonic pulse waveforms and comparison diagrams of PD in oil, original time-domain sequences of PD pulses in gas environments, and frequency response characteristic maps of ultrasonic signals with different frequencies underwater. The dataset supports two data formats: PNG and CSV. The file composition consists of 16 PNG files for oil-related samples, 10 CSV files for gas-related samples, and 14 PNG files for underwater samples, totaling approximately 40 files. The total data volume is about 38 MB.
