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.AcknowledgementThis 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 appearance quality detection. If you have any questions or suggestions, do not hesitate to contact the corresponding author: Prof. Dongfeng Yuan, [e-mail]-Haier-ND（Shandong University-Haier-Noise Detection，山东大学-海尔噪声检测数据集）是山东大学与海尔联合构建的声学数据集，收录了产品质量检测环节中采集的空调内部运行声响。本数据集采集并标注了真实生产环境下的一批空调质量检测声响样本，涵盖正常声响样本与异常声响样本。该数据集包含多类异常声响，覆盖空调常见的多种故障类型，例如由轴承或导风板引发的异常声响。致谢：本研究得到山东省重大科技创新工程项目"云边协同机制新型智能制造控制平台应用示范"资助。山东大学研究团队与海尔胶州空调互联工厂合作构建了本外观质量检测数据集。若您有任何疑问或建议，请联系通讯作者：袁东风教授，邮箱：[e-mail]。

搜集汇总

背景与挑战

背景概述

SDU-Haier-ND是由山东大学和海尔联合构建的噪声检测数据集，专门用于空调产品质量检测。该数据集包含从真实生产环境中收集的正常和异常运行声音样本，涵盖多种常见故障类型，如轴承或导板异常，旨在支持智能制造和云边协同平台的应用研究。