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

doi:10.1109/TIE.2019.2926048

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 journal › Article › peer-review

25 Citations (SciVal)

Original language	English
Article number	8758454
Pages (from-to)	5022-5029
Number of pages	8
Journal	IEEE Transactions on Industrial Electronics
Volume	67
Issue number	6
DOIs	https://doi.org/10.1109/TIE.2019.2926048
Publication status	Published (VoR) - Jun 2020

Keywords

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

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10.1109/TIE.2019.2926048

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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",

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Valve Failure Prognostics in Reciprocating Compressors Utilizing Temperature Measurements, PCA-Based Data Fusion, and Probabilistic Algorithms. / Loutas, Theodoros; Eleftheroglou, Nick; Georgoulas, George et al.
In: IEEE Transactions on Industrial Electronics, Vol. 67, No. 6, 8758454, 06.2020, p. 5022-5029.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Valve Failure Prognostics in Reciprocating Compressors Utilizing Temperature Measurements, PCA-Based Data Fusion, and Probabilistic Algorithms

AU - Loutas, Theodoros

AU - Eleftheroglou, Nick

AU - Georgoulas, George

AU - Loukopoulos, Panagiotis

AU - Mba, David

AU - Bennett, Ian

PY - 2020/6

Y1 - 2020/6

KW - Gradient boosted trees (GBTs)

KW - nonhomogeneous hidden semi-Markov models (NHHSMM)

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KW - reciprocation compressors

KW - remaining useful life (RUL) estimation

KW - uncertainty quantification

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JF - IEEE Transactions on Industrial Electronics

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

Keywords

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