DERVILIS, N.

• Structural Health Monitoring 2015 - SPECIAL SESSION: SHM TECHNOLOGY IN WIND TURBINES
  Extreme Function Theory for SHM: A Case Study for Wind Turbines
  Abstract
• Structural Health Monitoring 2015 - CIVIL STRUCTURES
  Towards a Population-based SHM: A Case Study on an Offshore Wind Farm
  Abstract
• Structural Health Monitoring 2013 - ADVANCED DIAGNOSTICS FOR DAMAGE ASSESSMENT
  Auto-Association and Novelty Detection: Truths and Myths?
  Abstract
• Structural Health Monitoring 2019 - DIAGNOSTICS
  Automated Fault Diagnosis with Calibrated Artefact Probing
  Abstract
• Structural Health Monitoring 2019 - SPECIAL SESSION: GUIDED WAVES IN STRUCTURES FOR SHM
  Health Monitoring of Composite Structures by Combining Ultrasonic Wave Data
  Abstract
• Structural Health Monitoring 2019 - SPECIAL SESSION: PROBABILISTIC SHM
  Experimental Validation of the Population-Form to Represent Nominally-Identical Systems
  Abstract
• Structural Health Monitoring 2019 - SPECIAL SESSION: SHM TECHNOLOGY IN WIND TURBINES
  Structural Health Monitoring: A Review of Uncertainty Quantification Methods in Wind Turbine Systems
  Abstract
• Structural Health Monitoring 2019 - STATISTICAL METHODS AND MACHINE LEARNING
  Applying the Concept of Complexity to Structural Health Monitoring
  Abstract
• Structural Health Monitoring 2019 - STATISTICAL METHODS AND MACHINE LEARNING
  Damage Classification Using Labelled and Unlabelled Measurements
  Abstract
• Structural Health Monitoring 2021 - INTEGRATION OF PHYSICAL MODELING, STATISTICAL METHODS, AND MACHINE LEARNING FOR SHM
  On Normalisation for Domain Adaptation in Population-Based Structural Health Monitoring
  Abstract
• Structural Health Monitoring 2021 - INTEGRATION OF PHYSICAL MODELING, STATISTICAL METHODS, AND MACHINE LEARNING FOR SHM
  On the Application of Variational Auto Encoders (VAE) for Damage Detection in Rolling Element Bearings
  Abstract
• Structural Health Monitoring 2021 - INTEGRATION OF PHYSICAL MODELING, STATISTICAL METHODS, AND MACHINE LEARNING FOR SHM
  On an Application of Generative Adversarial Networks on Remaining Lifetime Estimation
  Abstract
• Structural Health Monitoring 2021 - ADVANCES IN MACHINE LEARNING, BIG DATA ANALYTICS, AND/OR COMPUTER VISION FOR SHM
  On the Application of Topological Data Analysis: A Z24 Bridge Case Study
  Abstract
• STRUCTURAL HEALTH MONITORING 2023 - SPECIAL SESSION: ACCOUSTIC EMISSION AND HYBRID SHM
  Acoustic Emission Source Location Using Bayesian Optimisation for a Composite Helicopter Blade
  Abstract  PDF
• STRUCTURAL HEALTH MONITORING 2023 - SPECIAL SESSION: ARTIFICIAL INTELLIGENCE FOR SHM: MACHINE LEARNING APPROACHES
  When is an SHM Problem a Multi-Task- Learning Problem?
  Abstract  PDF
• STRUCTURAL HEALTH MONITORING 2023 - SPECIAL SESSION: GUIDED WAVES IN STRUCTURES FOR SHM
  Detection, Localisation, and Quantification of Bolt Looseness in an Aluminium Plate Using Lamb Wave Analysis
  Abstract  PDF
• STRUCTURAL HEALTH MONITORING 2023 - SPECIAL SESSION: INTEGRATING PHYSICS IN DATA-DRIVEN METHODS FOR SHM
  Physics-Informed Transfer Learning in PBSHM: A Case Study on Experimental Helicopter Blades
  Abstract  PDF
• STRUCTURAL HEALTH MONITORING 2023 - STATISTICAL METHODS AND MACHINE LEARNING
  Sharing Information Between Machine Tools to Improve Surface Finish Forecasting
  Abstract  PDF