Jet Engine Performance Deterioration

NASA Open Data Portal2025-06-14 收录

航空发动机健康管理

剩余使用寿命预测

数据链接：

https://data.nasa.gov/dataset/jet-engine-performance-deterioration 数据链接链接失效反馈

官方服务：

资源简介：

This data set contains numerous trajectories of engine related parameters that terminate at a lower acceptable threshold

Public C-MAPSS turbofan engine degradation dataset provided by NASA

发动机退化

剩余使用寿命预测

The C-MAPSS dataset was produced using a model-based simulation program called Commercial Modular Aero-Propulsion System Simulation (C-MAPSS) provided by NASA, which can accurately simulate the degrad

DataCite Commons2025-04-27 更新2660

数据/模型混合驱动剩余使用寿命预测数据集

剩余使用寿命预测

机械退化监测

本数据集收集了IEEE 2012挑战预测数据集中的数据，并对数据进行处理，这些数据来自于旋转机械退化实验平台PRONOSTIA实验采集，该平台能够在恒定或变化的操作条件下加速轴承的退化，同时收集在线监测数据如转速、负载、温度和振动等。数据集包括在3中不同的负载条件下，6个运行到故障的数据集，剩余寿命持续时间从1到7个小时不等，以保证在数据集上进行预测任务的挑战性。实验平台运行负载数据是收集的施加在

国家基础学科公共科学数据中心270

PCoE Turbofan Engine Degradation Simulation

航空发动机健康管理

故障预测与诊断

Engine degradation simulation was carried out using the Commercial Modular Aero-Propulsion System Simulation (C-MAPSS). Four different sets were simulated under different combinations of operational c

Zenodo2025-05-05 更新80

Remaining Useful Life Prediction Based on Forward Intensity

剩余使用寿命预测

退化分析

Remaining useful life (RUL) prediction is an essential tool for enhancing the reliability and resilience of systems. Most existing RUL prediction methods consider degradation-induced failures, and ass

DataCite Commons2024-12-02 更新460

NASA Turbofan Jet Engine Data Set

发动机健康管理

剩余使用寿命预测

DescriptionPrognostics and health management is an important topic in industry for predicting state of assets to avoid downtime and failures. This data set is the Kaggle version of the very well known

DataCite Commons2023-04-19 更新90

Jet Engine Performance Deterioration

资源简介：

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