infinite-dataset-hub/PredictiveMaintenance

预测性维护数据集是一个经过策划的工业设备文本描述集合。每个条目提供了设备的运行状态、潜在的故障预警信号以及采取的维护行动的叙述或报告。该数据集旨在训练能够预测何时进行维护以防止设备故障的机器学习模型。数据集包含如设备ID、时间戳、报告描述和标签等字段。标签列用于将预测性维护需求水平分类为低、中、高或紧急。

The PredictiveMaintenance dataset is a curated collection of textual descriptions of industrial equipment. Each entry provides a narrative or report on the equipments operational status, potential warning signs of failure, and maintenance actions taken. The dataset is intended for training machine learning models to predict when maintenance should be performed to prevent equipment failure. It includes fields such as Equipment_ID, Timestamp, Report_Description, and Label, with the Label column categorizing the level of predictive maintenance requirement into Low, Medium, High, or Emergency.