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Spilios D. Fassois

Spilios D. Fassois

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
5365
World Ranking
8704
National Ranking
71

Overview

Spilios D. Fassois is affiliated with the University of Patras in Greece. Their research is situated within the broader field of Engineering, with particular emphasis on Civil and Structural Engineering, Mechanics of Materials, Mechanical Engineering, Control and Systems Engineering, and Statistics, Probability and Uncertainty.

Their work primarily addresses topics related to Structural Health Monitoring Techniques, Ultrasonics and Acoustic Wave Propagation, Machine Fault Diagnosis Techniques, Railway Engineering and Dynamics, Probabilistic and Robust Engineering Design, Infrastructure Maintenance and Monitoring, and Fatigue and fracture mechanics.

Recent publications by Fassois include the following:

  • A Deep Learning-Based Fault Detection Model for Optimization of Shipping Operations and Enhancement of Maritime Safety, 2021, Sensors
  • Evaluation of Different Deep-Learning Models for the Prediction of a Ship's Propulsion Power, 2021, Journal of Marine Science and Engineering
  • Use of Convolutional Neural Networks for vessel performance optimization and safety enhancement, 2022, Ocean Engineering
  • On the functional model-based method for vibration-based robust damage detection: versions and experimental assessment, 2020, Structural Health Monitoring
  • Damage detection on the blade of an operating wind turbine via a single vibration sensor and statistical time series methods: Exploring the performance limits of robust methods, 2022, Structural Health Monitoring

Frequent co-authors collaborating with Fassois include:

  • John S. Sakellariou
  • Christos Spandonidis
  • Georgios Vlachospyros
  • Ioannis E. Saramantas
  • Ilias A. Iliopoulos

Fassois has published multiple papers in venues such as the Journal of Physics Conference Series, Structural Health Monitoring, Vehicle System Dynamics, EURODYN conferences, and IFAC-PapersOnLine, indicating engagement with both journal and conference platforms that focus on dynamics, structural health, and system engineering.

Best Publications

  • Parametric time-domain methods for non-stationary random vibration modelling and analysis — A critical survey and comparison

    A.G. Poulimenos;S.D. Fassois

  • Time-series methods for fault detection and identification in vibrating structures

    Spilios D Fassois;John S Sakellariou

  • Vibration based health monitoring for a lightweight truss structure: experimental assessment of several statistical time series methods

    F. P. Kopsaftopoulos;S. D. Fassois

  • Identification of pre-sliding and sliding friction dynamics: Grey box and black-box models

    K Worden;C Wong;U Parlitz;A Hornstein

  • Friction Identification Based Upon the LuGre and Maxwell Slip Models

    D.D. Rizos;S.D. Fassois

  • PARAMETRIC TIME-DOMAIN METHODS FOR THE IDENTIFICATION OF VIBRATING STRUCTURES—A CRITICAL COMPARISON AND ASSESSMENT

    K.A. Petsounis;S.D. Fassois

  • Parametric identification of a time-varying structure based on vector vibration response measurements ☆

    M.D. Spiridonakos;S.D. Fassois

  • Non-stationary random vibration modelling and analysis via functional series time-dependent ARMA (FS-TARMA) models – A critical survey

    M.D. Spiridonakos;S.D. Fassois

  • A functional model based statistical time series method for vibration based damage detection, localization, and magnitude estimation

    F.P. Kopsaftopoulos;S.D. Fassois

  • Duhem modeling of friction-induced hysteresis

    A. Padthe;B. Drincic;Jinhyoung Oh;D. Rizos

  • Identification of dynamic myoelectric signal-to-force models during isometric lumbar muscle contractions

    Darryl G. Thelen;Albert B. Schultz;Spilios D. Fassois;James A. Ashton-Miller

  • A Statistical Method for the Detection of Sensor Abrupt Faults in Aircraft Control Systems

    P.A. Samara;G.N. Fouskitakis;J.S. Sakellariou;S.D. Fassois

  • Statistical Time Series Methods for SHM

    Spilios D. Fassois;John S. Sakellariou

  • Identification of pre-sliding friction dynamics.

    U. Parlitz;A. Hornstein;D. Engster;F. Al-Bender

  • Output-only stochastic identification of a time-varying structure via functional series TARMA models

    Aggelos G. Poulimenos;Spilios D. Fassois

  • MIMO LMS-ARMAX IDENTIFICATION OF VIBRATING STRUCTURES—PART I: THE METHOD

    S.D. Fassois

  • NON-STATIONARY FUNCTIONAL SERIES TARMA VIBRATION MODELLING AND ANALYSIS IN A PLANAR MANIPULATOR

    K.A. Petsounis;S.D. Fassois

  • Presliding friction identification based upon the Maxwell Slip model structure.

    Demosthenis D. Rizos;Spilios D. Fassois

  • Output-only identification and dynamic analysis of time-varying mechanical structures under random excitation: A comparative assessment of parametric methods

    M.D. Spiridonakos;A.G. Poulimenos;S.D. Fassois

  • Maximum likelihood identification of stochastic Weiner-Hammerstein-type non-linear systems

    C.H. Chen;S.D. Fassois

Frequent Co-Authors

Ulrich Parlitz
Ulrich Parlitz Max Planck Institute for Dynamics and Self-Organization
Keith Worden
Keith Worden University of Sheffield
Dennis S. Bernstein
Dennis S. Bernstein University of Michigan–Ann Arbor
Eleni Chatzi
Eleni Chatzi ETH Zurich
Daniel E. Rivera
Daniel E. Rivera Arizona State University
James A. Ashton-Miller
James A. Ashton-Miller University of Michigan–Ann Arbor
George Chryssolouris
George Chryssolouris University of Patras

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