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Engineering and Technology

D-Index
57
Citations
13796
World Ranking
2610
National Ranking
795

Overview

George Vachtsevanos is affiliated with the Georgia Institute of Technology in the United States. Their research expertise is situated primarily within the engineering field, with a focus on Control and Systems Engineering, Mechanical Engineering, Civil and Structural Engineering, Statistics, Probability and Uncertainty, and Safety, Risk, Reliability and Quality.

Their research contributions encompass several topics including:

  • Fault Detection and Control Systems
  • Non-Destructive Testing Techniques
  • Concrete Corrosion and Durability
  • Risk and Safety Analysis
  • Reliability and Maintenance Optimization
  • Machine Fault Diagnosis Techniques
  • Quality and Safety in Healthcare

George Vachtsevanos has published extensively in frequent venues such as:

  • International Journal of Prognostics and Health Management
  • SAE International Journal of Aerospace
  • 2022 IEEE Aerospace Conference (AERO)

Recent published papers include:

  • "Windings Fault Detection and Prognosis in Electro-Mechanical Flight Control Actuators Operating in Active-Active Configuration," 2020, International Journal of Prognostics and Health Management
  • "Results of a Feasibility Study of a Prognostic System for Electro-Hydraulic Flight Control Actuators," 2021, International Journal of Prognostics and Health Management
  • "Criticality of Prognostics in the Operations of Autonomous Aircraft," 2023, SAE International Journal of Aerospace
  • "Controlling Tracking Performance for System Health Management - A Markov Decision Process Formulation," 2020, International Journal of Prognostics and Health Management
  • "Diagnosis of Fault Modes Masked by Control Loops with an Application to Autonomous Hovercraft Systems," 2020, International Journal of Prognostics and Health Management

Co-authors frequently collaborating with George Vachtsevanos include:

  • Andrea De Martin
  • Giovanni Jacazio
  • Ravi Rajamani
  • K. Natarajan
  • Peter Sandborn

The scientist also contributed to book publications, including works published by Springer International Publishing. Notably, they published "Corrosion Processes" in 2020, which has been cited in research literature.

Best Publications

  • Intelligent Fault Diagnosis and Prognosis for Engineering Systems

    George Vachtsevanos;Frank Lewis;Michael Roemer;Andrew Hess

  • Handbook of Unmanned Aerial Vehicles

    Kimon P. Valavanis;George J. Vachtsevanos

  • Epileptic seizures may begin hours in advance of clinical onset: a report of five patients.

    Brian Litt;Rosana Esteller;Rosana Esteller;Javier Echauz;Javier Echauz;Maryann D'Alessandro

  • A particle-filtering approach for on-line fault diagnosis and failure prognosis

    Marcos E. Orchard;George J. Vachtsevanos

  • A comparison of waveform fractal dimension algorithms

    R. Esteller;G. Vachtsevanos;J. Echauz;B. Litt

  • One-Class Novelty Detection for Seizure Analysis from Intracranial EEG

    Andrew B. Gardner;Abba M. Krieger;George Vachtsevanos;Brian Litt

  • Epileptic seizure prediction using hybrid feature selection over multiple intracranial EEG electrode contacts: a report of four patients

    M. D'Alessandro;R. Esteller;G. Vachtsevanos;A. Hinson

  • A Probabilistic Fault Detection Approach: Application to Bearing Fault Detection

    Bin Zhang;C Sconyers;C Byington;R Patrick

  • Machine Condition Prediction Based on Adaptive Neuro–Fuzzy and High-Order Particle Filtering

    Chaochao Chen;Bin Zhang;G. Vachtsevanos;M. Orchard

  • Fault prognosis using dynamic wavelet neural networks

    G. Vachtsevanos;P. Wang

  • Fault prognostics using dynamic wavelet neural networks

    Peng Wang;George Vachtsevanos

  • An open platform for reconfigurable control

    L. Wills;S. Kannan;S. Sander;M. Guler

  • The analysis of fields and torques in spherical induction motors

    K. Davey;G. Vachtsevanos;R. Powers

  • Prediction of Machine Health Condition Using Neuro-Fuzzy and Bayesian Algorithms

    Chaochao Chen;Bin Zhang;G. Vachtsevanos

  • Turn-Off Time as an Early Indicator of Insulated Gate Bipolar Transistor Latch-up

    D. W. Brown;M. Abbas;A. Ginart;I. N. Ali

  • Machine remaining useful life prediction: An integrated adaptive neuro-fuzzy and high-order particle filtering approach

    Chaochao Chen;George Vachtsevanos;Marcos E. Orchard

  • A Hybrid Photovoltaic Simulator for Utility Interactive Studies

    G. Vachtsevanos;K. Kalaitzakis

  • Software technology for implementing reusable, distributed control systems

    B.S. Heck;L.M. Wills;G.J. Vachtsevanos

  • Continuous energy variation during the seizure cycle: towards an on-line accumulated energy

    Rosana Esteller;Javier Echauz;Maryann D'Alessandro;Greg Worrell

  • Online Condition Monitoring of Power MOSFET Gate Oxide Degradation Based on Miller Platform Voltage

    Xuerong Ye;Cen Chen;Yixing Wang;Guofu Zhai

  • Advances in uncertainty representation and management for particle filtering applied to prognostics

    M. Orchard;G. Kacprzynski;K. Goebel;B. Saha

Frequent Co-Authors

Marcos E. Orchard
Marcos E. Orchard University of Chile
Kimon P. Valavanis
Kimon P. Valavanis University of Denver
Abhinav Saxena
Abhinav Saxena General Electric (United States)
Kai Goebel
Kai Goebel Palo Alto Research Center
Brian Litt
Brian Litt University of Pennsylvania
Frank L. Lewis
Frank L. Lewis The University of Texas at Arlington
Eric N. Johnson
Eric N. Johnson Pennsylvania State University
Anthony Yezzi
Anthony Yezzi Georgia Institute of Technology
Dimitri N. Mavris
Dimitri N. Mavris Georgia Institute of Technology
Panos J. Antsaklis
Panos J. Antsaklis University of Notre Dame

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