Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Gustavo Pérez-Zuñiga"'
Autor:
Gustavo Pérez-Zuñiga, Diego Arce, Sareli Gibaja, Marcelo Alvites, Consuelo Cano, Marlene Bustamante, Ingrid Horna, Renato Paredes, Francisco Cuellar
Publikováno v:
Sensors, Vol 24, Iss 4, p 1321 (2024)
In recent years, social assistive robots have gained significant acceptance in healthcare settings, particularly for tasks such as patient care and monitoring. This paper offers a comprehensive overview of the expressive humanoid robot, Qhali, with a
Externí odkaz:
https://doaj.org/article/8554c89ac3ac4f8cb56e77358ae4b030
Autor:
Juan Manuel Gomez-Quispe, Gustavo Pérez-Zuñiga, Diego Arce, Fiorella Urbina, Sareli Gibaja, Renato Paredes, Francisco Cuellar
Publikováno v:
Sensors, Vol 23, Iss 1, p 552 (2023)
In social robotics, especially with regard to direct interactions between robots and humans, the robotic movements of the body, arms and head must make an adequate displacement to guarantee an adequate interaction, both from a functional and social p
Externí odkaz:
https://doaj.org/article/8a97be72cf1e4f30a79a4b4c5e3476a2
Publikováno v:
Applied Sciences, Vol 11, Iss 24, p 11993 (2021)
Fault detection and isolation (FDI) in oil pipeline systems (OPS) is a very critical issue because faults in these systems such as leaks or equipment malfunctions may cause significant safety accidents and economic losses. These are the challenging f
Externí odkaz:
https://doaj.org/article/f5bc77213832447495402442300afeaa
Publikováno v:
Applied Sciences, Vol 11, Iss 9, p 3776 (2021)
Implementation of model-based fault diagnosis systems can be a difficult task due to the complex dynamics of most systems, an appealing alternative to avoiding modeling is to use machine learning-based techniques for which the implementation is more
Externí odkaz:
https://doaj.org/article/c74d638b87a94d5c81b947b54bd9ee0f
Publikováno v:
Entropy, Vol 23, Iss 2, p 139 (2021)
In automated plants, particularly in the petrochemical, energy, and chemical industries, the combined management of all of the incidents that can produce a catastrophic accident is required. In order to do this, an alarm management methodology can be
Externí odkaz:
https://doaj.org/article/5a8c5da65a144bffb0dfbc5e9e0cac8a
Publikováno v:
Applied Sciences, Vol 9, Iss 14, p 2932 (2019)
This article addresses the design and real-time implementation of an expert model predictive controller (Expert MPC) for the control of the brackish and seawater desalination process in a pilot-scale reverse osmosis (RO) plant. This pilot-scale plant
Externí odkaz:
https://doaj.org/article/656e516e63714549b395fa8125113b7e
Publikováno v:
IFAC-PapersOnLine. 55:643-648
Publikováno v:
Journal of Process Control. 92:310-318
Often industrial variables can be difficult to measure due to such factors as extreme conditions or complex compositions. In such cases, soft sensors have been developed that use available system information and measurements to estimate these difficu
Publikováno v:
IFAC-PapersOnLine. 53:17350-17355
Fault detection and isolation (FDI) systems play a key role to provide efficiency, reliability and safety in today’s industrial processes. The teaching of FDI systems is facilitated if it is carried out not only with theoretical lectures but also w
Publikováno v:
IFAC-PapersOnLine. 53:80-85
Difficult-to-obtain variables in industrial applications have led to the rise of soft sensors, which use prior system information and measurements to estimate these difficult-to-obtain variables. In real systems, the measurements that need to be esti