Estimate remaining useful life for predictive railways maintenance based on LSTM autoencoder
Crossref DOI link: https://doi.org/10.1007/s00521-021-06051-1
Published Online: 2022-02-02
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Hu, Liqiang
Dai, Guoyong
Text and Data Mining valid from 2022-02-02
Version of Record valid from 2022-02-02
Article History
Received: 22 February 2021
Accepted: 15 April 2021
First Online: 2 February 2022
Declarations
:
: The authors declare that they have no conflict of interest.