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Engineering and Technology

D-Index
42
Citations
7992
World Ranking
6485
National Ranking
1777

Overview

Abhinav Saxena is affiliated with General Electric in the United States and has contributed extensively to the field of engineering, with a notable focus on prognostics and health management. Their research spans various subfields including control and systems engineering, artificial intelligence, aerospace engineering, industrial and manufacturing engineering, and biomedical engineering.

The scientist's work covers key topics such as fault detection and control systems, machine fault diagnosis techniques, cardiac arrest and resuscitation, mechanical circulatory support devices, oil and gas production techniques, digital transformation in industry, and risk and safety analysis.

Frequent collaborators in their research include Jamie Coble, Michael Muhlheim, Pradeep Ramuhalli, Alex Huning, and Askin Guler Yigitoglu. Their most active publication venues comprise the Annual Conference of the PHM Society, the International Journal of Prognostics and Health Management, the Journal of the American College of Cardiology, the 2021 International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

Some recent papers authored or co-authored by Abhinav Saxena include:

  • Metrics for Offline Evaluation of Prognostic Performance, 2021, International Journal of Prognostics and Health Management
  • Performance Benchmarking and Analysis of Prognostic Methods for CMAPSS Datasets, 2020, International Journal of Prognostics and Health Management
  • Recent advances in materials science: a reinforced approach toward challenges against COVID-19, 2021, Emergent Materials
  • Human Following Robot, 2021, 2021 International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
  • Deep Learning Approach to Within-Bank Fault Detection and Diagnostics of Fine Motion Control Rod Drives, 2024, International Journal of Prognostics and Health Management

Best Publications

  • Damage propagation modeling for aircraft engine run-to-failure simulation

    A. Saxena;K. Goebel;D. Simon;N. Eklund

  • Prognostics in Battery Health Management

    K. Goebel;B. Saha;A. Saxena;J. Celaya

  • Metrics for evaluating performance of prognostic techniques

    A. Saxena;J. Celaya;E. Balaban;K. Goebel

  • Metrics for Offline Evaluation of Prognostic Performance

    Abhinav Saxena;Jose Celaya;Bhaskar Saha;Sankalita Saha

  • Evolving an artificial neural network classifier for condition monitoring of rotating mechanical systems

    Abhinav Saxena;Ashraf Saad

  • An Adaptive Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-ion Batteries

    Jie Liu;Abhinav Saxena;Kai Goebel;Bhaskar Saha

  • Modeling, Detection, and Disambiguation of Sensor Faults for Aerospace Applications

    E. Balaban;A. Saxena;P. Bansal;K.F. Goebel

  • On Applying the Prognostic Performance Metrics

    Abhinav Saxena;Jose Celaya;Bhaskar Saha;Sankalita Saha

  • A diagnostic approach for electro-mechanical actuators in aerospace systems

    Edward Balaban;Prasun Bansal;Paul Stoelting;Abhinav Saxena

  • Evaluating algorithm performance metrics tailored for prognostics

    Abhinav Saxena;Jose Celaya;Bhaskar Saha;Sankalita Saha

  • Performance Benchmarking and Analysis of Prognostic Methods for CMAPSS Datasets.

    Emmanuel Ramasso;Abhinav Saxena

  • In-situ fatigue life prognosis for composite laminates based on stiffness degradation

    Tishun Peng;Yongming Liu;Abhinav Saxena;Kai Goebel

  • Prognostics of Power Mosfets Under Thermal Stress Accelerated Aging Using Data-Driven and Model-Based Methodologies

    José R. Celaya;Abhinav Saxena;Sankalita Saha;Kai F. Goebel

  • Prognostics approach for power MOSFET under thermal-stress aging

    Jose R. Celaya;Abhinav Saxena;Chetan S. Kulkarni;Sankalita Saha

  • A multi-feature integration method for fatigue crack detection and crack length estimation in riveted lap joints using Lamb waves

    Jingjing He;Xuefei Guan;Tishun Peng;Yongming Liu

  • Towards Prognostics of Power MOSFETs: Accelerated Aging and Precursors of Failure

    Jose R Celaya;Abhinav Saxena;Philip Wysocki;Sankalita Saha

  • A knowledge-based system approach for sensor fault modeling, detection and mitigation

    Jonny Carlos da Silva;Abhinav Saxena;Edward Balaban;Kai Goebel

  • Prognostic Health-Management System Development for Electromechanical Actuators

    Edward Balaban;Abhinav Saxena;Sriram Narasimhan;Indranil Roychoudhury

  • Condition-based prediction of time-dependent reliability in composites

    Juan Chiachío;Manuel Chiachío;Shankar Sankararaman;Abhinav Saxena

  • Rolling element bearing feature extraction and anomaly detection based on vibration monitoring

    Bin Zhang;G. Georgoulas;M. Orchard;A. Saxena

  • An Efficient Deterministic Approach to Model-based Prediction Uncertainty Estimation

    Matthew J. Daigle;Abhinav Saxena;Kai Goebel

Frequent Co-Authors

Kai Goebel
Kai Goebel Palo Alto Research Center
George Vachtsevanos
George Vachtsevanos Georgia Institute of Technology
Yongming Liu
Yongming Liu Arizona State University
Marcos E. Orchard
Marcos E. Orchard University of Chile
Marco Giglio
Marco Giglio Polytechnic University of Milan
David He
David He University of Illinois at Chicago
Jie Liu
Jie Liu Hunan University
Fu-Kuo Chang
Fu-Kuo Chang Stanford University
Deepak Khare
Deepak Khare Indian Institute of Technology Roorkee
Magnus Egerstedt
Magnus Egerstedt University of North Carolina at Chapel Hill

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