NASA C-MAPSS-2 (Turbofan Engine Degradation Simulation Data Set-2)

数据驱动的预测模型的生成需要具有运行到失败轨迹的数据集的可用性。为了促进这些方法的发展，该数据集为现实飞行条件下的小型飞机发动机机队提供了一个新的运行到故障轨迹的现实数据集。用于生成此合成数据集的损伤传播建模建立在先前工作的建模策略之上。该数据集是使用商业模块化航空推进系统仿真 (C-MAPSS) 动力学模型生成的。该数据集由 NASA Ames 的 Prognostics CoE 与 ETH Zurich 和 PARC 合作提供。

The development of data-driven predictive models requires the availability of datasets with run-to-failure trajectories. To advance the development of these methods, this dataset provides a novel realistic dataset of run-to-failure trajectories for a fleet of small aircraft engines operating under realistic flight conditions. The damage propagation modeling used to generate this synthetic dataset builds upon the modeling strategies from prior work. This dataset was generated using the dynamical model of the Commercial Modular Aero-Propulsion System Simulation (C-MAPSS). It is made available through a collaboration between the Prognostics CoE at NASA Ames, ETH Zurich, and PARC.

搜集汇总

背景与挑战

背景概述

NASA C-MAPSS-2是一个涡轮风扇发动机退化模拟数据集，由NASA Ames Prognostics CoE与合作伙伴共同提供，用于支持数据驱动的预测模型开发和剩余寿命估计研究。