Valve Failure Prognostics in Reciprocating Compressors Utilizing Temperature Measurements, PCA-Based Data Fusion, and Probabilistic Algorithms

Theodoros Loutas*, Nick Eleftheroglou, George Georgoulas, Panagiotis Loukopoulos, David Mba, Ian Bennett

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    24 Citations (SciVal)
    Original languageEnglish
    Article number8758454
    Pages (from-to)5022-5029
    Number of pages8
    JournalIEEE Transactions on Industrial Electronics
    Volume67
    Issue number6
    DOIs
    Publication statusPublished (VoR) - Jun 2020

    Keywords

    • Gradient boosted trees (GBTs)
    • nonhomogeneous hidden semi-Markov models (NHHSMM)
    • prognostics
    • reciprocation compressors
    • remaining useful life (RUL) estimation
    • uncertainty quantification

    Fingerprint

    Dive into the research topics of 'Valve Failure Prognostics in Reciprocating Compressors Utilizing Temperature Measurements, PCA-Based Data Fusion, and Probabilistic Algorithms'. Together they form a unique fingerprint.

    Cite this