SDU-Haier-ND: A Dataset for Noise Detection
SDU-Haier-ND (Shandong University-Haier-Noise Detection) is a sound dataset jointly constructed by Shandong University and Haier, which contains the operating sound of the internal air conditioner collected during the product quality inspection. We collected and marked a batch of quality inspection sounds of air conditioners in real production environments to form this data set, including normal sound samples and abnormal sound samples. The data set contains a variety of abnormal sounds, covering a variety of common failures of air conditioners, such as abnormalities caused by bearings or guide plates.
This work is supported by the Major Scientific and Technological Innovation Project of Shandong Province "Application Demonstration of A New Intelligent Manufacturing Control Platform with Cloud-Edge Collaboration Mechanism". The research team of Shandong University cooperated with Haier Jiaozhou Air-conditioner Interconnected Factory build the dataset for noise detection.
If you have any questions or suggestions, do not hesitate to contact the corresponding author: Prof. Dongfeng Yuan, email@example.com.
SDU-Haier-ND dataset contains a total of 536 sound samples in wav format, and the sampling frequency of the sound signal is 48kHz. The sound samples are collected manually, so the sound duration is not the same. The valid sound signal, that is, the operating sound of the air conditioner, is collected in a confined space called the sound room to isolate other sounds in the production workshop. The doors of the sound room are open before and after the air conditioning detection. At this time, the radio equipment in the noise room will collect various sounds from the production workshop, so the sound samples in this dataset contain some invalid noise.