典型工业设备声学数据模型训练用DCASE2020数据集

项目在产品服务生命周期集成平台研发中数据驱动的产品服务关键技术开发时，采集了6类设备多个型号在正常运行和故障运行状态下的数据，DCASE 2020数据集是IEEE信号处理学会音频和声学处理分会设计的工业设备声学公开数据集，项目执行期间使用其进行模型训练，数据量为7.6GB.During the research and development of the integrated platform for product service lifecycle, while developing key data-driven product service technologies, the project collected data from multiple models of 6 types of equipment under normal and faulty operating conditions. The DCASE 2020 dataset is an open industrial equipment acoustic dataset designed by the Audio and Acoustic Signal Processing Technical Committee of the IEEE Signal Processing Society. It was utilized for model training during the project execution, with a data size of 7.6 GB.

搜集汇总

背景与挑战

背景概述

该数据集是DCASE 2020公开数据集，专门用于典型工业设备声学数据模型的训练。它采集了6类设备在正常运行和故障运行状态下的声学数据，总数据量为7.6GB。