henrygao11/bda-final

repo for big data analysis final project （rul prediction + fault classification)

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tilman151/rul-datasets

A collection of datasets for RUL estimation as Lightning Data Modules.

Language: Python - Size: 1.13 MB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 47 - Forks: 2

biswajitsahoo1111/rul_codes_open

This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.

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tilman151/rul-adapt

A collection of unsupervised domain adaption algorithms for RUL estimation.

Language: Python - Size: 3.77 MB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 36 - Forks: 4

jshiah/Remaining-Useful-Life-Turbofan-Engines-Prediction

A repository for predictive maintenance models using XGBoost and Random Forest to estimate the Remaining Useful Life (RUL) of turbofan engines from the NASA CMAPSS dataset, featuring an adaptive sliding window approach for real-time degradation trend analysis, which outperforms fixed-window methods in accuracy.

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Soumyabrata111/CMAPSS-Jet-Engine-Simulated-Data-Augmentation

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StarMarco/DVAE_torch

A PyTorch implimentation of a conditional Dynamical Variational Autoencoder for remaining useful life estimation

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StarMarco/Kalman_DVAE

Tensorflow implementation of a Kalman-DVAE for remaining useful life estimation on the CMAPSS dataset

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alireza-javanmardi/conformal-RUL-intervals

Conformal Prediction Intervals for Remaining Useful Lifetime Estimation (IJPHM 2023)

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mohyunho/NAS_transformer

Evolutionary Neural Architecture Search on Transformers for RUL Prediction

Language: Python - Size: 15.4 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 13 - Forks: 3

mohyunho/N-CMAPSS_DL

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

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foryichuanqi/RESS-Paper-2022.09-Remaining-useful-life-prediction-by-TaFCN

The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of CMAPSS dataset. Signal selection, Attention mechanism, and Interpretability of deep learning are explored.

Language: Python - Size: 50.5 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 19 - Forks: 1

jiaxiang-cheng/PyTorch-Transformer-for-RUL-Prediction

Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021). Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit. Journal of Intelligent Manufacturing, 1-10.

Language: Python - Size: 11.9 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 92 - Forks: 25

jiaxiang-cheng/PyTorch-LSTM-for-RUL-Prediction

PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Partially inspired by Zheng, S., Ristovski, K., Farahat, A., & Gupta, C. (2017, June). Long short-term memory network for remaining useful life estimation.

Language: Python - Size: 11.4 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 52 - Forks: 14

kpeters/exploring-nasas-turbofan-dataset

collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset

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Oussama-KIASSI/NASA-Turbofan-Engine-Predictive-Maintenance

Predictive Maintenance project using Python and C-MAPSS NASA Turbofan Engine data.

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mohyunho/ENAS-PdM

Evolutionary Neural Architecture Search for Remaining Useful Life Prediction

Language: Python - Size: 985 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 9 - Forks: 1