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09_turbofan_rul

Remaining useful life prediction for turbofan engine data (C-MAPSS)

adaptivespt

ai-paas

Code Repository for AI-PAAS

aircraft-turbofan-rul

asymmetric-loss-functions-for-deep-learning-early-predictions-of-remaining-useful-life-in-aerospace-

Accompanied python code the WCCI paper titled: Asymmetric Loss Functions for Deep Learning Early Predictions of Remaining Useful Life in Aerospace Gas Turbine Engines

copytranslator

Foreign language reading and translation assistant based on copy and translate.

development_2020

e304

engine_rul

lstm-keras-cmapss

Using LSTM to predict Remaining Useful Life of CMAPSS Dataset

machinelearning-python

主要利用Numpy来写机器学习的程序

nasa_turbofan_failure_prediction

nasa_turbofan_failure_prediction

pdm-aircraft-engine

Predicting the remaining useful life of an aircraft engine approached using machine learning

phmc2019dataanalysischallenge

https://industrial-big-data.io/phmc2019-datachallenge/

policy-gradient-pong

tensorflow implementation of Andrej Karpathy's blog about reinforcement learning. http://karpathy.github.io/2016/05/31/rl/

predictive-maintenance-practice

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

remaining_useful_life_nasa

RUL Nasa Turbofan Dataset (paper)

remaining_useful_life_prediction

Remainin useful life prediction using Python.

rul

Estimate Remaining Useful Life of a Machine

rul-net

Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine

tensorflow-gans

各类GAN综合在一起，借鉴了hwalsuklee大神的

turbofan_failure

Aircraft engine failure prediction model