深航维修领域数据集

通过处理、分析这些数据，挖掘出数据背后的信息，航司的运控和维修人员就可以更加及时、精准地判断飞机状态，评估飞机故障对运行的影响。与传统的基于机组报告、地面检查、测试等手段来获知飞机健康状态的方法相比，基于机载数据的方法可实时诊断和报告飞机故障状态，提高航班运行保障能力；同时实现连续监控系统性能，提前预测故障，实现预防性维修。

By processing and analyzing these data to extract underlying information, airline operations control and maintenance personnel can more timely and accurately determine the aircraft's status and evaluate the impact of aircraft failures on operations. Compared with traditional methods for obtaining aircraft health status based on crew reports, ground inspections, tests and other means, the onboard data-based approach can conduct real-time diagnosis and reporting of aircraft failure states, and enhance flight operation support capabilities; meanwhile, it enables continuous monitoring of system performance, early failure prediction, and the implementation of preventive maintenance.

搜集汇总

背景与挑战

背景概述

该数据集是深圳航空有限责任公司申请的维修领域数据集，主要内容为ACARS报文飞机状态监控解析数据，包括故障信息、位置信息、发动机参数等多个子集。数据集旨在通过实时分析和预测飞机状态，提升航班运行保障能力和实现预防性维修，应用于航空维修领域的故障诊断和性能监控。