PHM 2008 Challenge

This dataset describes the degradation of an aircraft engine. The dataset was used for the prognostics challenge competition at the International Conference on Prognostics and Health Management (PHM08). The challenge is still open for the researchers to develop and compare their efforts against the winners of the challenge in 2008. Data sets consist of multiple multivariate time series. Each data set is further divided into training and test subsets. Each time series is from a different aircraft engine – i.e., the data can be considered to be from a fleet of engines of the same type. Each engine starts with different degrees of initial wear and manufacturing variation which is unknown to the user. This wear and variation is considered normal, i.e., it is not considered a fault condition. There are three operational settings that have a substantial effect on engine performance. These settings are also included in the data. The data are contaminated with sensor noise.

搜集汇总

背景与挑战

背景概述

PHM 2008 Challenge数据集专注于飞机发动机的退化预测，源自国际会议上的挑战竞赛，旨在促进研究比较。它包含来自多个发动机的多元时间序列，分为训练和测试子集，每个发动机具有未知的初始磨损和制造变异，属于正常状态。数据还涵盖三个关键的操作设置，并受到传感器噪声影响，适用于时间序列分析和预测模型开发。