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10 search results found
Rul_codes_open
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98
This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.
Pytorch Lstm For Rul Prediction
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44
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.
N Cmapss_dl
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27
N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)
Rul Datasets
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23
A collection of datasets for RUL estimation as Lightning Data Modules.
Rul Adapt
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17
A collection of unsupervised domain adaption algorithms for RUL estimation.
Exploring Nasas Turbofan Dataset
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13
collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset
Nas_transformer
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12
Evolutionary Neural Architecture Search on Transformers for RUL Prediction
Enas Pdm
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11
Evolutionary Neural Architecture Search for Remaining Useful Life Prediction
Pytorch Transformer For Rul Prediction
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11
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.
Ress Paper 2022.09 Remaining Useful Life Prediction By Tafcn
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10
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.
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Remaining Useful Life Cmapss (9)
Python Cmapss (7)
Pytorch Cmapss (5)
Predictive Maintenance Cmapss (5)
Jupyter Notebook Cmapss (4)
Turbofan Engine Cmapss (3)
Remaining Useful Life Prediction Cmapss (3)
Machine Learning Cmapss (3)
Deep Learning Cmapss (3)
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