xuejun1108 Goto Github PK

-predictive-maintenance-on-nasa-turbofan-engine-dataset-using-machine-learning

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

forecasting-and-classification-of-mechanical-faults

predictive-maintenance-fault-classification(CWRU data)-and-remaining-useful-life(NASA’s Turbofan Engine )

n-cmapss_dl

N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)

n-cmapss_dl_prediction

Estimating Remaining Useful Life of a Turbofan Jet Engine using NCMAPSS dataset

nas_convelm

Evolutionary optimization of convolutional ELM for remaining useful life prediction

nas_transformer

Evolutionary Neural Architecture Search on Transformers for RUL Prediction

nasa-jet-engine-maintenance

ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification

nasa-turbofan-jet-engine-lifetime-prediction-project

This repository contains the code used for the NASA Turbofan Jet Engine Lifetime Prediction Assignment for Maintenance Modelling Analysis.

nasa-turbofan-jet-engine-predictive-maintenance

predictive-maintenance

NASA Turbofan Jet Engine Predicting Maintenance with Machine Learning.

predictive-maintenance-analysis-on-nasa-turbofan-jet-engine-data-set

predictive-maintenance-bc-iohmm-drl

Hierarchical Framework for Interpretable Deep Reinforcement Learning Based- Predictive Maintenance (Applied to NASA Turbofan engine dataset)

predictive-maintenance-for-aircraft-engines

A predictive maintenance model for aircraft engines using machine learning and data analysis techniques. Training data of 10,000 engines acquired from NASA's Prognostics Center of Excellence.

predictive-maintenance-pdm-nasa-turbofan-jet-engine

predictive-maintenance-practice

This is a Machine Learning Practice Case of Predictive Maintenance by Python with NASA's Turbofan Engine Degradation Simulation Data Set.

predictive_maintenance

Predictive Maintenance have been done on the NASA's Turbofans to predict the Remaining useful life of the engines based upon the input from several sensors.

predictive_maintenance_nasa_turbofanengine

The goal is to predict the remaining useful life (RUL) of each engine in the test dataset. RUL is equivalent of number of flights remained for the engine after the last data point in the test dataset.

test

tfed

Predictive Maintenance with Turbofan Engine Degradation Data from NASA

turbine-engine---predictive-maintenance

Predictive maintenance project for turbine engines. The dataset was provided by NASA. Using a simple dense neural network the state of a current engine, from a maintenance severity standpoint, can be assessed using the large number of sensor readings.

turbofan_engine-predictive_maintenance

Predictive Maintenance using Machine Learning Technics - using NASA Turbofan Engine Degradation Simulation Data Set

udacity-data-scientist

Repository for the Udacity Data Scientist Nanodegree projects