Marcos E. Orchard
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View article: In Situ Estimation of Li-Ion Battery State of Health Using On-Board Electrical Measurements for Electromobility Applications
In Situ Estimation of Li-Ion Battery State of Health Using On-Board Electrical Measurements for Electromobility Applications Open
The well-balanced combination of high energy density and competitive cycle performance has established lithium-ion batteries as the technology of choice for Electric Vehicles (EVs) energy storage. Nevertheless, battery degradation continue…
View article: Event-Based Data in Prognostics and Health Management
Event-Based Data in Prognostics and Health Management Open
In the modern industrial context, Prognostics and Health Management (PHM) systems based on data-driven approaches have been widely and effectively developed to reduce maintenance costs. However, continuous data requires large memory capaci…
View article: The impact of the point spread function fitting radius on photometric uncertainty based on the Fisher information matrix
The impact of the point spread function fitting radius on photometric uncertainty based on the Fisher information matrix Open
In point spread function (PSF) photometry, the selection of the fitting aperture radius plays a critical role in determining the precision of flux and background estimations. Traditional methods often rely on maximizing the signal-to-noise…
View article: The impact of the point spread function fitting radius on photometric uncertainty based on the Fisher information matrix
The impact of the point spread function fitting radius on photometric uncertainty based on the Fisher information matrix Open
Context . In point spread function (PSF) photometry, the selection of the fitting aperture radius plays a critical role in determining the precision of flux and background estimations. Traditional methods often rely on maximizing the signa…
View article: Fractional Gradient-Based Model Reference Adaptive Control Applied on an Inverted Pendulum-Cart System
Fractional Gradient-Based Model Reference Adaptive Control Applied on an Inverted Pendulum-Cart System Open
This study introduces a novel model reference adaptive control (MRAC) framework that incorporates fractional-order gradients (FGs) to regulate the displacement of an inverted pendulum-cart system. Fractional-order gradients have been shown…
View article: Unveiling the role of local metabolic constraints on the structure and activity of spiking neural networks
Unveiling the role of local metabolic constraints on the structure and activity of spiking neural networks Open
Understanding the intricate interplay between neural dynamics and metabolic constraints is crucial for unraveling the mysteries of the brain. Despite the significance of this relationship, specific details concerning the impact of metaboli…
View article: Distributed Control Scheme for the Coordination of Interlinking Converters in Islanded Hybrid AC/DC Multi-Microgrids
Distributed Control Scheme for the Coordination of Interlinking Converters in Islanded Hybrid AC/DC Multi-Microgrids Open
Multiple interconnected ac and dc microgrids (MGs) are being studied by academia and industry because of their benefits despite their operational challenges. Coordinating distributed generators (DGs) is complex, so communication-based cont…
View article: Unsupervised Fault Detection in a Controlled Conical Tank
Unsupervised Fault Detection in a Controlled Conical Tank Open
Current trends in the Industrial Internet of Things (IIoT) have increased the sensorization of systems, thus increasing data availability to apply data-driven fault detection and diagnosis techniques to monitor these systems. In this work,…
View article: Feature-weighted Random Forest with Boruta for Fault Diagnosis of Satellite Attitude Control Systems
Feature-weighted Random Forest with Boruta for Fault Diagnosis of Satellite Attitude Control Systems Open
The performance of random forest (RF) based satellite attitude control system (ACS) fault diagnosis methods is limited by uninformative features in high-dimensional data. To solve this problem, we proposed a feature-weighted random forest …
View article: Modeling and Simulation of Thermal Effects on Electrical Behavior in Lithium-Ion Cells
Modeling and Simulation of Thermal Effects on Electrical Behavior in Lithium-Ion Cells Open
Thermal effects exert a crucial influence on the electrical behavior of lithium-ion batteries, significantly impacting key parameters such as the open circuit voltage curve, internal impedance, and cell degradation rate. Furthermore, these…
View article: Expected First Occurrence Time of Uncertain Future Events in One-Dimensional Linear Systems
Expected First Occurrence Time of Uncertain Future Events in One-Dimensional Linear Systems Open
The rapid advancement of machine learning algorithms has significantly enhanced tools for monitoring system health, making data-driven approaches predominant in Prognostics and Health Management (PHM). In contrast, model-based approaches h…
View article: Gamma Process Based Degradation Model with Fractional Gaussian Noise
Gamma Process Based Degradation Model with Fractional Gaussian Noise Open
In modern industrial and engineering systems, stochastic degradation models are widely used for reliability analysis and maintenance decision-making. However, due to imperfect sensors and environmental influences, it is difficult to direct…
View article: Analysis of Fractional Order-Adaptive Systems Represented by Error Model 1 Using a Fractional-Order Gradient Approach
Analysis of Fractional Order-Adaptive Systems Represented by Error Model 1 Using a Fractional-Order Gradient Approach Open
In adaptive control, error models use system output error and adaptive laws to update controller parameters for control or identification tasks. Fractional-order calculus, involving non-integer-order derivatives and integrals, is increasin…
View article: A Flexible Methodology for Uncertainty-Quantified Monitoring of Abrasive Wear in Heavy Machinery Using Neural Networks and Phenomenology-Based Feature Engineering
A Flexible Methodology for Uncertainty-Quantified Monitoring of Abrasive Wear in Heavy Machinery Using Neural Networks and Phenomenology-Based Feature Engineering Open
This paper introduces a cutting-edge methodology for the monitoring of abrasive wear, particularly focusing on SAG (Semi-Autogenous Grinding) mills liners. The lack of a regular inspection regime has historically led to opportunistic and t…
View article: Health-aware Control for Health Management of Lithium-ion Battery in a V2G Scenario
Health-aware Control for Health Management of Lithium-ion Battery in a V2G Scenario Open
In response to the urgent need to combat climate change and reduce greenhouse gas emissions, the transition towards renewable energy sources such as solar and wind power is indispensable. However, the intermittent nature of these sources p…
View article: Enhancing the Pitch-Rate Control Performance of an F-16 Aircraft Using Fractional-Order Direct-MRAC Adaptive Control
Enhancing the Pitch-Rate Control Performance of an F-16 Aircraft Using Fractional-Order Direct-MRAC Adaptive Control Open
This study presents a comparative analysis of classical model reference adaptive control (IO-DMRAC) and its fractional-order counterpart (FO-DMRAC), which are applied to the pitch-rate control of an F-16 aircraft longitudinal model. The re…
View article: Fault Detection and Monitoring using a Data-Driven Information-Based Strategy: Method, Theory, and Application
Fault Detection and Monitoring using a Data-Driven Information-Based Strategy: Method, Theory, and Application Open
The ability to detect when a system undergoes an incipient fault is of paramount importance in preventing a critical failure. Classic methods for fault detection (including model-based and data-driven approaches) rely on thresholding error…
View article: Improving Pitch Rate Control Performance of an F-16 Aircraft Using Fractional Order Direct-MRAC Adaptive Control Instead of Using the Classic Direct-MRAC Adaptive Control
Improving Pitch Rate Control Performance of an F-16 Aircraft Using Fractional Order Direct-MRAC Adaptive Control Instead of Using the Classic Direct-MRAC Adaptive Control Open
: This paper presents a comparison between direct integer orders or classical model reference adaptive control (IO-DMRAC) versus its fractional orders counterpart (FO-DMRAC) applied to the F-16 aircraft longitudinal model pitch rate contro…
View article: Autonomous Sensor System for Low-Capacity Wind Turbine Blade Vibration Measurement
Autonomous Sensor System for Low-Capacity Wind Turbine Blade Vibration Measurement Open
This paper presents the design, implementation, and validation of an on-blade sensor system for remote vibration measurement for low-capacity wind turbines. The autonomous sensor system was deployed on three wind turbines, with one of them…
View article: A novel dynamical model for diagnosis, prognosis and health-aware control of Lithium-ion batteries
A novel dynamical model for diagnosis, prognosis and health-aware control of Lithium-ion batteries Open
International audience
View article: Automated Modal Identification of Operational Wind Turbines Blades
Automated Modal Identification of Operational Wind Turbines Blades Open
This study proposes a continuous-time automated operational modal analysis approach for conducting system identification of wind turbine blades.A vibration-based monitoring system consisting of lowcost microcontrollers and acceleration sen…
View article: Optimal photometry of point sources: Joint source flux and background determination on array detectors -- from theory to practical implementation
Optimal photometry of point sources: Joint source flux and background determination on array detectors -- from theory to practical implementation Open
In this paper we study the joint determination of source and background flux for point sources as observed by digital array detectors. We explicitly compute the two-dimensional Cramér-Rao absolute lower bound (CRLB) as well as the performa…
View article: Adaptive Scalable Video Streaming (ASViS): An Advanced ABR Transmission Protocol for Optimal Video Quality
Adaptive Scalable Video Streaming (ASViS): An Advanced ABR Transmission Protocol for Optimal Video Quality Open
Multimedia video streaming, identified as the dominant internet data consumption service, brings forth challenges in consistently delivering optimal video quality. Dynamic Adaptive Streaming over HTTP (DASH), while prevalent, often encount…
View article: Unveiling the role of local metabolic constraints on the structure and activity of spiking neural networks
Unveiling the role of local metabolic constraints on the structure and activity of spiking neural networks Open
Understanding the intricate interplay between neural dynamics and metabolic constraints is crucial for unraveling the mysteries of the brain. Despite the significance of this relationship, specific details concerning the impact of metaboli…
View article: Underlying Probability Measure Approximated by Monte Carlo Simulations in Event Prognostics
Underlying Probability Measure Approximated by Monte Carlo Simulations in Event Prognostics Open
The prognostic of events, and particularly of failures, is a key step towards allowing preventive decision-making, as in the case of predictive maintenance in Industry 4.0, for example. However, the occurrence time of a future event is sub…