Marcos E. Orchard
Orcid: 0000-0003-4778-2719Affiliations:
- University of Chile, Santiago, Chile
- Georgia Institute of Technology, Atlanta, GA, USA (former)
According to our database1,
Marcos E. Orchard
authored at least 53 papers
between 2003 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Sensors, March, 2024
Exploring the benefits of images with frequency visual content in predicting human ocular scanpaths using Artificial Neural Networks.
Expert Syst. Appl., 2024
Fault Detection and Monitoring using an Information-Driven Strategy: Method, Theory, and Application.
CoRR, 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
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
IEEE Trans. Reliab., 2021
Improved Remaining Useful Life Estimation of Wind Turbine Drivetrain Bearings Under Varying Operating Conditions.
IEEE Trans. Ind. Informatics, 2021
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
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
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
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
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
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
Expert Syst. Appl., 2016
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
Int. J. Humanoid Robotics, 2015
2014
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
IEEE Trans. Ind. Electron., 2011
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
Proceedings of the American Control Conference, 2010
2009
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
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