What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Artificial intelligence
- Mechanical engineering
Fausto Pedro García Márquez mostly deals with Condition monitoring, Reliability engineering, Wind power, Renewable energy and Maintainability.
Fausto Pedro García Márquez regularly ties together related areas like Operations research in his Condition monitoring studies.
His Reliability engineering research includes themes of Fault and Kalman filter.
His Wind power research is multidisciplinary, incorporating elements of Turbine, Table and Fault tree analysis.
His Table study combines topics from a wide range of disciplines, such as Analytics and Downtime.
As a part of the same scientific family, Fausto Pedro García Márquez mostly works in the field of Renewable energy, focusing on Fault detection and isolation and, on occasion, Turbine blade and Pattern recognition.
His most cited work include:
- Condition monitoring of wind turbines: Techniques and methods (552 citations)
- Wind turbine reliability analysis (156 citations)
- A Survey of Artificial Neural Network in Wind Energy Systems (113 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Condition monitoring, Wind power, Reliability engineering, Fault detection and isolation and Turbine.
The concepts of his Condition monitoring study are interwoven with issues in Planned maintenance, Artificial neural network, Simulation, Maintainability and Photovoltaic system.
As part of one scientific family, he deals mainly with the area of Wind power, narrowing it down to issues related to the Automotive engineering, and often Reliability.
His Fault tree analysis study in the realm of Reliability engineering connects with subjects such as Reliability, Reliability and Point.
His biological study deals with issues like Binary decision diagram, which deal with fields such as Ranking.
The study incorporates disciplines such as Structural health monitoring, Ultrasonic sensor, Electronic engineering, Wavelet transform and Pattern recognition in addition to Fault detection and isolation.
He most often published in these fields:
- Condition monitoring (28.16%)
- Wind power (24.71%)
- Reliability engineering (21.84%)
What were the highlights of his more recent work (between 2019-2021)?
- Wind power (24.71%)
- Condition monitoring (28.16%)
- Turbine (14.94%)
In recent papers he was focusing on the following fields of study:
Fausto Pedro García Márquez focuses on Wind power, Condition monitoring, Turbine, Renewable energy and Reliability engineering.
Fausto Pedro García Márquez has researched Wind power in several fields, including Marine engineering, SCADA and Analytics.
His work deals with themes such as Automotive engineering, Photovoltaic system, Process engineering and Fault detection and isolation, which intersect with Condition monitoring.
His study looks at the intersection of Turbine and topics like Downtime with Data analysis.
As a part of the same scientific study, he usually deals with the Renewable energy, concentrating on Structural health monitoring and frequently concerns with Maintainability.
Fausto Pedro García Márquez combines subjects such as Component and Identification with his study of Reliability engineering.
Between 2019 and 2021, his most popular works were:
- Maintenance Management based on Machine Learning and Nonlinear Features in Wind Turbines (20 citations)
- Photovoltaic plant condition monitoring using thermal images analysis by convolutional neural network-based structure (17 citations)
- Comparative Study of Tubular Solar Stills with Phase Change Material and Nano-Enhanced Phase Change Material (16 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Artificial intelligence
- Mechanical engineering
His primary areas of investigation include Condition monitoring, Wind power, Photovoltaic system, Renewable energy and Reliability engineering.
His Condition monitoring research includes elements of Fault detection and isolation, Real-time computing and Thermography, Thermographic inspection.
With his scientific publications, his incorporates both Wind power and Reliability.
His Photovoltaic system study combines topics from a wide range of disciplines, such as Emerging technologies and Solar energy.
The various areas that he examines in his Renewable energy study include Battery, Algorithm and Energy management.
The Reliability engineering study combines topics in areas such as Computer simulation, Quadratic programming and Demand response.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
