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Search results for pytorch remaining useful life
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remaining-useful-life
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6 search results found
Weibull Knowledge Informed Ml
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52
Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).
Pytorch Lstm For Rul Prediction
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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.
Turbofan Engine Rul Prediction
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RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAt
Rul Datasets
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A collection of datasets for RUL estimation as Lightning Data Modules.
Rul Adapt
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A collection of unsupervised domain adaption algorithms for RUL estimation.
Pytorch Transformer For Rul Prediction
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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.
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