If you made any changes in Pure these will be visible here soon.

Fingerprint Dive into the research topics where N. Eleftheroglou is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 49 Similar Profiles

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output

  • 6 Conference contribution
  • 6 Article
  • 1 Abstract
  • 1 Dissertation (TU Delft)

Adaptive prognostics for remaining useful life of composite structures

Eleftheroglou, N., 2020, 107 p.

Research output: ThesisDissertation (TU Delft)

Open Access
File
  • 2 Downloads (Pure)

    An adaptive probabilistic data-driven methodology for prognosis of the fatigue life of composite structures

    Eleftheroglou, N., Zarouchas, D. & Benedictus, R., 1 Aug 2020, In : Composite Structures. 245, 9 p., 112386.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
  • 34 Downloads (Pure)

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

    Loutas, T., Eleftheroglou, N., Georgoulas, G., Loukopoulos, P., Mba, D. & Bennett, I., 1 Jun 2020, In : IEEE Transactions on Industrial Electronics. 67, 6, p. 5022-5029 8 p., 8758454.

    Research output: Contribution to journalArticleScientificpeer-review

  • 3 Citations (Scopus)

    Extreme prognostics for remaining useful life analysis of composite structures

    Eleftheroglou, N., Zarouchas, D. & Benedictus, R., 2019, Proceedings of the Annual Conference of the Prognostics and Health Management Society (PHM 2019). Scott Clements, N. (ed.). NY, USA: PHM Society, Vol. 11 (1). 8 p. 492

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    Open Access
    File
  • 35 Downloads (Pure)

    Intelligent data-driven prognostic methodologies for the real-time remaining useful life until the end-of-discharge estimation of the Lithium-Polymer batteries of unmanned aerial vehicles with uncertainty quantification

    Eleftheroglou, N., Mansouri, S. S., Loutas, T., Karvelis, P., Georgoulas, G., Nikolakopoulos, G. & Zarouchas, D., 15 Nov 2019, In : Applied Energy. 254, 113677.

    Research output: Contribution to journalArticleScientificpeer-review

  • 3 Citations (Scopus)

    Datasets