数控设备故障知识图谱构建与智能维护决策技术模型数据集

数控设备故障知识图谱构建与智能维护决策技术模型数据集面向数控设备故障知识图谱构建与智能维护决策技术研究，数据集包括技术对应的模型代码、建模数据。其中，模型采用图注意力模型。构建模型的数据，通过调研走访，获得数控设备故障维修记录，包括3000条以上维修记录数据，包含设备名称、故障情况、目前状态、维修分类的信息。数据量1.37MB。Dataset for CNC Equipment Fault Knowledge Graph Construction and Intelligent Maintenance Decision-Making Technologies: This dataset is designed for research on CNC equipment fault knowledge graph construction and intelligent maintenance decision-making technologies. It includes the model code and modeling data corresponding to the related technologies, where the adopted model is the Graph Attention Model. The data used for model construction is collected through field investigations and visits, consisting of over 3,000 pieces of CNC equipment fault maintenance records, which contain information such as equipment name, fault situation, current status, and maintenance classification. The total data size is 1.37 MB.

搜集汇总

背景与挑战

背景概述

该数据集面向数控设备故障知识图谱构建与智能维护决策技术研究，包含模型代码和建模数据，其中模型基于图注意力模型。建模数据来源于调研走访获得的3000条以上维修记录，涵盖设备名称、故障情况、目前状态、维修分类等信息，总数据量为1.37MB。