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Marcos E. Orchard

Marcos E. Orchard

D-Index & Metrics

Engineering and Technology

D-Index
37
Citations
6006
World Ranking
8350
National Ranking
6

Overview

Marcos E. Orchard is affiliated with the University of Chile in Chile and has contributed extensively to the field of engineering, with a particular focus on control and systems engineering. Their research spans various subfields including automotive engineering, electrical and electronic engineering, safety, risk, reliability and quality, as well as civil and structural engineering.

They have published 175 works in engineering, covering several specialized areas:

  • Control and Systems Engineering
  • Automotive Engineering
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Civil and Structural Engineering

The main topics within their research portfolio include fault detection and control systems, advanced battery technologies, reliability and maintenance optimization, machine fault diagnosis techniques, structural health monitoring techniques, advancements in battery materials, and risk and safety analysis.

  • Fault Detection and Control Systems
  • Advanced Battery Technologies Research
  • Reliability and Maintenance Optimization
  • Machine Fault Diagnosis Techniques
  • Structural Health Monitoring Techniques
  • Advancements in Battery Materials
  • Risk and Safety Analysis

Marcos E. Orchard has collaborated frequently with several co-authors, including Jorge F. Silva, Heraldo Rozas, Francisco Jaramillo, Ferhat Tamssaouet, and Kamal Medjaher. These collaborations have resulted in numerous joint publications.

  • Jorge F. Silva
  • Heraldo Rozas
  • Francisco Jaramillo
  • Ferhat Tamssaouet
  • Kamal Medjaher

Their publication record includes contributions to prominent venues, with the highest number of papers presented at the Annual Conference of the PHM Society. Other frequent venues include IFAC-PapersOnLine, the International Journal of Prognostics and Health Management, arXiv (Cornell University), and the PHM Society European Conference.

  • Annual Conference of the PHM Society
  • IFAC-PapersOnLine
  • International Journal of Prognostics and Health Management
  • arXiv (Cornell University)
  • PHM Society European Conference

Recent publications by Marcos E. Orchard cover topics relevant to prognostics, health management, and energy storage. Some examples include:

  • "Critical Wind Turbine Components Prognostics: A Comprehensive Review" (2020), IEEE Transactions on Instrumentation and Measurement
  • "Thermal Modeling Approaches for a LiCoO2 Lithium-ion Battery-A Comparative Study with Experimental Validation" (2020), Batteries
  • "A Comprehensive Review on Small Satellite Microgrids" (2022), IEEE Transactions on Power Electronics
  • "An Overview of the State of the Art in Aircraft Prognostic and Health Management Strategies" (2023), IEEE Transactions on Instrumentation and Measurement
  • "Improved Remaining Useful Life Estimation of Wind Turbine Drivetrain Bearings Under Varying Operating Conditions" (2020), IEEE Transactions on Industrial Informatics

Best Publications

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

    Marcos E. Orchard;George J. Vachtsevanos

  • 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

  • Failure Prognosis and Applications—A Survey of Recent Literature

    Mojtaba Kordestani;Mehrdad Saif;Marcos E. Orchard;Roozbeh Razavi-Far

  • Particle-Filtering-Based Prognosis Framework for Energy Storage Devices With a Statistical Characterization of State-of-Health Regeneration Phenomena

    B. E. Olivares;Matias A. Cerda Munoz;M. E. Orchard;J. F. Silva

  • Critical Wind Turbine Components Prognostics: A Comprehensive Review

    Milad Rezamand;Mojtaba Kordestani;Rupp Carriveau;David S.-K. Ting

  • A Particle Filtering-based Framework for On-line Fault Diagnosis and Failure Prognosis

    Marcos Eduardo Orchard

  • Effect of Battery Degradation on Multi-Service Portfolios of Energy Storage

    Aramis Perez;Rodrigo Moreno;Roberto Moreira;Marcos Orchard

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

    Chaochao Chen;George Vachtsevanos;Marcos E. Orchard

  • Particle-Filtering-Based Discharge Time Prognosis for Lithium-Ion Batteries With a Statistical Characterization of Use Profiles

    Daniel A. Pola;Hugo F. Navarrete;Marcos E. Orchard;Ricardo S. Rabie

  • Risk Measures for Particle-Filtering-Based State-of-Charge Prognosis in Lithium-Ion Batteries

    M. E. Orchard;P. Hevia-Koch;Bin Zhang;Liang Tang

  • Particle-filtering-based estimation of maximum available power state in Lithium-Ion batteries

    Claudio Burgos-Mellado;Marcos E. Orchard;Mehrdad Kazerani;Roberto Cárdenas

  • A Particle Filtering Framework for Failure Prognosis

    Marcos Orchard;Biqing Wu;George Vachtsevanos

  • Fuzzy modelling for the state-of-charge estimation of lead-acid batteries

    Claudio Burgos;Doris Sáez;Marcos E. Orchard;Roberto Cárdenas

  • A particle filtering approach for on-line failure prognosis in a planetary carrier plate

    Marcos E. Orchard;George J. Vachtsevanos

  • A full compensating system for general loads, based on a combination of thyristor binary compensator, and a PWM-IGBT active power filter

    J. Dixon;Y. del Valle;M. Orchard;M. Ortuzar

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

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

  • A particle filtering-based framework for real-time fault diagnosis and failure prognosis in a turbine engine

    M.E. Orchard;G.J. Vachtsevanos

  • Multi-objective optimal design of lithium-ion battery packs based on evolutionary algorithms

    Bernardo Severino;Felipe Gana;Rodrigo Palma-Behnke;Pablo A. Estévez

  • Risk-Sensitive Particle-Filtering-based Prognosis Framework for Estimation of Remaining Useful Life in Energy Storage Devices<

    Marcos E. Orchard;Liang Tang;Bhaskar Saha;Kai Goebel

  • Advanced strategies to improve nitrification process in sequencing batch reactors - A review.

    Francisco Jaramillo;Marcos Orchard;Carlos Muñoz;Mauricio Zamorano

Frequent Co-Authors

George Vachtsevanos
George Vachtsevanos Georgia Institute of Technology
Kamal Medjaher
Kamal Medjaher Federal University of Toulouse Midi-Pyrénées
Kai Goebel
Kai Goebel Palo Alto Research Center
Abhinav Saxena
Abhinav Saxena General Electric (United States)
Doris Saez
Doris Saez University of Chile
Mehrdad Saif
Mehrdad Saif University of Windsor
Pablo A. Estevez
Pablo A. Estevez University of Chile
Roberto Cardenas
Roberto Cardenas University of Chile
Rodrigo Palma-Behnke
Rodrigo Palma-Behnke University of Chile
David S.-K. Ting
David S.-K. Ting University of Windsor

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