Marcos E. Orchard

Orcid: 0000-0003-4778-2719

Affiliations:
  • University of Chile, Santiago, Chile
  • Georgia Institute of Technology, Atlanta, GA, USA (former)


According to our database1, Marcos E. Orchard authored at least 51 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Autonomous Sensor System for Low-Capacity Wind Turbine Blade Vibration Measurement.
Sensors, March, 2024

2023
Dynamic Average Consensus With Anti-Windup Applied to Interlinking Converters in AC/DC Microgrids Under Economic Dispatch and Delays.
IEEE Trans. Smart Grid, September, 2023

GNSS-Based Estimation of Average Instantaneous Power Consumption in Electric Vehicles.
IEEE Trans. Ind. Electron., September, 2023

An online decision-making strategy for routing of electric vehicle fleets.
Inf. Sci., May, 2023

An Overview of the State of the Art in Aircraft Prognostic and Health Management Strategies.
IEEE Trans. Instrum. Meas., 2023

2022
Data-Driven Representations for Testing Independence: Modeling, Analysis and Connection With Mutual Information Estimation.
IEEE Trans. Signal Process., 2022

A Reliable and Simple Method to Estimate the Electric-Vehicle Battery State-of-Health.
Proceedings of the International Conference on Connected Vehicle and Expo, 2022

2021
Failure Prognosis and Applications - A Survey of Recent Literature.
IEEE Trans. Reliab., 2021

Improved Remaining Useful Life Estimation of Wind Turbine Drivetrain Bearings Under Varying Operating Conditions.
IEEE Trans. Ind. Informatics, 2021

Degradation Modeling and Uncertainty Quantification for System-Level Prognostics.
IEEE Syst. J., 2021

Solving in real-time the dynamic and stochastic shortest path problem for electric vehicles by a prognostic decision making strategy.
Expert Syst. Appl., 2021

Multi-Objective Finite-Time Control for the Interlinking Converter on Hybrid AC/DC Microgrids.
IEEE Access, 2021

Condition Monitoring and Failure prognostic of Wind Turbine Blades.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

2020
Particle-Filtering-Based Prognostics for the State of Maximum Power Available in Lithium-Ion Batteries at Electromobility Applications.
IEEE Trans. Veh. Technol., 2020

Critical Wind Turbine Components Prognostics: A Comprehensive Review.
IEEE Trans. Instrum. Meas., 2020

Fractional order controllers for throughput and product quality control in a grinding mill circuit.
Eur. J. Control, 2020

2019
A Modular Fault Diagnosis and Prognosis Method for Hydro-Control Valve System Based on Redundancy in Multisensor Data Information.
IEEE Trans. Reliab., 2019

Harvest Stage Recognition and Potential Fruit Damage Indicator for Berries Based on Hidden Markov Models and the Viterbi Algorithm.
Sensors, 2019

Battery health management for small-size rotary-wing electric unmanned aerial vehicles: An efficient approach for constrained computing platforms.
Reliab. Eng. Syst. Saf., 2019

Improvements of Energy-Efficient Techniques in WSNs: A MAC-Protocol Approach.
IEEE Commun. Surv. Tutorials, 2019

Uncertainty Quantification in System-level Prognostics: Application to Tennessee Eastman Process.
Proceedings of the 6th International Conference on Control, 2019

2018
Improving battery voltage prediction in an electric bicycle using altitude measurements and kernel adaptive filters.
Pattern Recognit. Lett., 2018

Characterization of the degradation process of lithium-ion batteries when discharged at different current rates.
J. Syst. Control. Eng., 2018

Conditional predictive Bayesian Cramér-Rao Lower Bounds for prognostic algorithms design.
Appl. Soft Comput., 2018

2017
Metrics for Evaluating Feature-Based Mapping Performance.
IEEE Trans. Robotics, 2017

State-of-charge estimation to improve energy conservation and extend battery life of wireless sensor network nodes.
Proceedings of the Ninth International Conference on Ubiquitous and Future Networks, 2017

Crime prediction using patterns and context.
Proceedings of the 21st IEEE International Conference on Computer Supported Cooperative Work in Design, 2017

Modelling the degradation process of lithium-ion batteries when operating at erratic state-of-charge swing ranges.
Proceedings of the 4th International Conference on Control, 2017

2016
Early online detection of high volatility clusters using Particle Filters.
Expert Syst. Appl., 2016

Analysis of the Bayesian Cramér-Rao in astrometry.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

2015
Particle-Filtering-Based Discharge Time Prognosis for Lithium-Ion Batteries With a Statistical Characterization of Use Profiles.
IEEE Trans. Reliab., 2015

Information-Theoretic Measures and Sequential Monte Carlo Methods for Detection of Regeneration Phenomena in the Degradation of Lithium-Ion Battery Cells.
IEEE Trans. Reliab., 2015

Fall Detection and Damage Reduction in Biped Humanoid Robots.
Int. J. Humanoid Robotics, 2015

2014
A verification framework with application to a propulsion system.
Expert Syst. Appl., 2014

Estimation of financial indices volatility using a model with time-varying parameters.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

2013
Particle-Filtering-Based Prognosis Framework for Energy Storage Devices With a Statistical Characterization of State-of-Health Regeneration Phenomena.
IEEE Trans. Instrum. Meas., 2013

Risk Measures for Particle-Filtering-Based State-of-Charge Prognosis in Lithium-Ion Batteries.
IEEE Trans. Ind. Electron., 2013

Improving throughput performance under an energy efficient multiplexing access scheme using time-of-failure prognosis.
Proceedings of the 8th International Conference on Body Area Networks, 2013

2012
An integrated architecture for fault diagnosis and failure prognosis of complex engineering systems.
Expert Syst. Appl., 2012

2011
Machine Condition Prediction Based on Adaptive Neuro-Fuzzy and High-Order Particle Filtering.
IEEE Trans. Ind. Electron., 2011

A Probabilistic Fault Detection Approach: Application to Bearing Fault Detection.
IEEE Trans. Ind. Electron., 2011

Welcome message.
Proceedings of the 9th IEEE International Conference on Control and Automation, 2011

A new method for identification of fuzzy models based on evolutionary algorithms and its application to the modeling of a wind turbine.
Proceedings of the 9th IEEE International Conference on Control and Automation, 2011

Design and validation of a fuzzy longitudinal controller based on a vehicle dynamic simulator.
Proceedings of the 9th IEEE International Conference on Control and Automation, 2011

Anomaly detection in power generation plants using similarity-based modeling and multivariate analysis.
Proceedings of the American Control Conference, 2011

2010
Fault progression modeling: An application to bearing diagnosis and prognosis.
Proceedings of the American Control Conference, 2010

2009
Application of Blind Deconvolution Denoising in Failure Prognosis.
IEEE Trans. Instrum. Meas., 2009

2007
A Particle Filtering-based Framework for On-line Fault Diagnosis and Failure Prognosis.
PhD thesis, 2007

A Particle Filtering Approach for On-Line Failure Prognosis in a Planetary Carrier Plate.
Int. J. Fuzzy Log. Intell. Syst., 2007

Prognostics in the Control Loop.
Proceedings of the Artificial Intelligence for Prognostics, 2007

2003
A full compensating system for general loads, based on a combination of thyristor binary compensator, and a PWM-IGBT active power filter.
IEEE Trans. Ind. Electron., 2003


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