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Pytorch Lstm For Rul Prediction ⭐ 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.

Rul Datasets ⭐ 23

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

Rul Adapt ⭐ 17

A collection of unsupervised domain adaption algorithms for RUL estimation.

Pytorch Transformer For Rul Prediction ⭐ 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.

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