i-CNC Use Case: Vibration data and associated Chatter indication during milling process with CNC machines

The Dataset has been created in the context of the use case "Intelligent control of interconnected manufacturing infrastructures (i-CNC)" funded by the TrialsNet project (Horizon-SNS-JU-2022 - GA 101095871). The i-CNC use case has been conducted by CNC Solutions, LMS Lab/ University of Patras, and Fogus Innovations & Services P.C. The dataset is composed of two files. Each file includes measurements (vibration data) from sensors mounted on CNC Machines in Paiania (CNC Solutions machinery) and Patras (LMS Lab), respectively. Each measurement is associated with an indicator on the existence or not of the chatter phenomenon during the milling process. The indicator has been produced after applying an AI chatter detection mechanism on the collected data.本数据集依托由TrialsNet项目（Horizon-SNS-JU-2022 - GA 101095871）资助的“互联制造基础设施智能控制（i-CNC）”用例开发。该i-CNC用例由CNC Solutions、帕特雷大学LMS实验室以及Fogus Innovations & Services P.C.共同实施。本数据集包含两个数据文件，分别存储安装于派阿尼亚（Paiania，CNC Solutions机床场地）与帕特雷（Patras，LMS实验室场地）的数控机床所采集的振动测量数据。每一条测量数据均对应铣削过程中颤振现象是否存在的标注指标，该指标通过对采集到的数据应用AI颤振检测机制生成。