@article{18d4bcc78bfa47b5932ee7d0530ddacf,
title = "Valve Failure Prognostics in Reciprocating Compressors Utilizing Temperature Measurements, PCA-Based Data Fusion, and Probabilistic Algorithms",
keywords = "Gradient boosted trees (GBTs), nonhomogeneous hidden semi-Markov models (NHHSMM), prognostics, reciprocation compressors, remaining useful life (RUL) estimation, uncertainty quantification",
author = "Theodoros Loutas and Nick Eleftheroglou and George Georgoulas and Panagiotis Loukopoulos and David Mba and Ian Bennett",
note = "Publisher Copyright: {\textcopyright} 1982-2012 IEEE.",
year = "2020",
month = jun,
doi = "10.1109/TIE.2019.2926048",
language = "English",
volume = "67",
pages = "5022--5029",
journal = "IEEE Transactions on Industrial Electronics",
issn = "0278-0046",
publisher = "IEEE Computer Society",
number = "6",
}