刀具磨破损状态特征库数据集

该数据集是铣削加工铝基碳化硅材料下的刀具磨损、崩刃、断刀等不同状态的信号特征及图像数据集，包括铣削加工铝基碳化硅材料下的刀具磨损、崩刃、断刀等不同状态的信号特征及图像，以CSV格式存储信号特征，以JPG格式存储图像。刀具磨破损状态特征库包括正常磨损、崩刃和断刀三种状态特征。数据获得时间为2024年8月2日，涉及到的计算方式包括数据分割和数据降噪滤波的一些算法。设备：Nvidia 4060Ti台式机。数据量11.4MB.This dataset is a signal feature and image dataset covering various tool states including tool wear, chipping, and tool breakage during the milling process of aluminum matrix silicon carbide materials. It includes signal features and images corresponding to the aforementioned different tool states when milling aluminum matrix silicon carbide materials. Signal features are stored in CSV format, while images are stored in JPG format. The tool wear and breakage state feature library encompasses three states: normal wear, chipping, and tool breakage. The data was acquired on August 2, 2024. The computational methods involved include several algorithms for data segmentation, denoising and filtering. The equipment used is a Nvidia 4060Ti desktop computer. The total data volume is 11.4 MB.

搜集汇总

背景与挑战

背景概述

该数据集针对铣削加工铝基碳化硅材料，提供了刀具正常磨损、崩刃和断刀三种状态的信号特征及图像数据，以CSV格式存储信号特征，JPG格式存储图像。数据集来自国家重点研发计划项目，数据量约为11.4MB，涉及数据分割和降噪滤波算法处理。