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Marcos E. Orchard

Marcos E. Orchard

D-Index & Metrics

Engineering and Technology

D-Index
37
Citations
6006
World Ranking
8352
National Ranking
6

Marcos E. Orchard publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Marcos E. Orchard sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 168 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Marcos E. Orchard D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Marcos E. Orchard sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 37 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

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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