N. Eleftheroglou

Robust Prognostics for Composite Structures Facing Unforeseen Impacts

Mariana Salinas-Camus, George Galanopoulos, E. Jull, Lucas Amaral +1 more

202535th European Safety and Reliability Conference (ESREL 2025) and the 33rd Society for Risk Analysis Europe Conference (SRA-E 2025)0 citations Open access

Semantic Scholar

N. Eleftheroglou

Most-cited papers

A data-driven probabilistic framework towards the in-situ prognostics of fatigue life of composites based on acoustic emission data

Structural health monitoring data fusion for in-situ life prognosis of composite structures

Fatigue damage diagnostics and prognostics of composites utilizing structural health monitoring data and stochastic processes

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

A comprehensive review and evaluation framework for data-driven prognostics: Uncertainty, robustness, interpretability, and feasibility

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

Acoustic emission-based remaining useful life prognosis of aeronautical structures subjected to compressive fatigue loading

Similarity learning hidden semi-Markov model for adaptive prognostics of composite structures

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

A novel strain-based Health Indicator for the Remaining Useful Life estimation of degrading composite structures

Remaining Useful Life Prognosis of Aircraft Brakes

Online Remaining Fatigue Life Prognosis for Composite Materials Based on Strain Data and Stochastic Modeling

A Literature Review-Based Evaluation Framework for Maintenance Strategy Selection in Heavy Vehicles

Real time Diagnostics and Prognostics of UAV Lithium-Polymer Batteries

A Bayesian inference-based framework for modeling imperfect post-repair behavior of remaining useful life under uncertainty

Uncertainty in Aircraft Turbofan Engine Prognostics on the C-MAPSS Dataset

HiMAP: Hidden Markov for Advanced Prognostics

In-situ fatigue damage analysis and prognostics of composite structures based on health monitoring data

In-situ fatigue damage assessment of carbon-fibre reinforced polymer structures using advanced experimental techniques

In-situ impact analysis during fatigue tests of open-hole carbon fibre reinforced polymer specimens

A novel approach towards fatigue damage prognostics of composite materials utilizing SHM data and stochastic degradation modeling

Online Remaining Useful Life Prognosis for Composite Materials Based on Acoustic Emission and Strain Data

Timeseries Feature Extraction for Dataset Creation in Prognostic Health Management

Prognostics of composite structures utilizing structural health monitoring data fusion

Extreme Prognostics for Remaining Useful Life Analysis of Composite Structures

Utilizing AE data and stochastic modelling towards fatigue damage diagnostics and prognostics of composites

Understanding the Impact of Temporal Aggregation on Uncertainty in Quality Indicator Prediction for Industrial Processes

Quantum-Aided Bayesian Learning for the Prediction and Uncertainty Quantification of Remaining Useful Life

Bayesian Post-Repair Prognostics for Reliable RUL Prediction

A robust generalized deep monotonic feature extraction model for label-free prediction of degenerative phenomena

Manufacturing Quality–Informed Prognostics: A Novel Approach to Past Uncertainty Management

Robust Prognostics for Composite Structures Facing Unforeseen Impacts

Data-driven Prognostics under uncertainty: A comparative study on the state-of-the-art HMMs

Quality indicator prediction utilizing historical production data: A case study in steel manufacturing

Redefining Prognostic Essentials: Focus on Reliability, Robustness and Feasibility

Prognostics of Remaining Useful Life for Aviation Structures Considering Imperfect Repairs

Development of a Feature Extraction Methodology for Prognostic Tasks of Aerospace Structures and Systems

Hidden Markov Model variants for prognostics: A comprehensive review and model selection framework