Mostrando ítems 1-2 de 2

Behavior computational tool for detection and diagnosis oscillations in a control systems

Hadechni Bonett, Samir; Ramírez Parra, Jhon; Escobar Davidson, Leonardo; Coll Velasquez, Jean; BELEÑO SAENZ, KELVIN; Jiménez-Cabas, Javier; Díaz Saenz, Carlos (Corporación Universidad de la Costa, 2020-07)

Control systems receive input signals to execute a process, resulting in an output. Based on this sequence, the computational tool has the function of detecting and diagnosing anomalies in the system. The oscillation ...
Non-obtrusive stiction detection methods for control systems

Escobar Davidson, Leonardo; Sucerquia Rincones, Stephany; Hadechni Bonett, Samir; Ramírez Parra, Jhon; Coll Velásquez, Jean; Beleño Saenz, Kelvin; Jiménez-Cabas, Javier; Díaz Saenz, Carlos (Corporación Universidad de la Costa, 2020-08)

Industrial processes play a key role in the production sector. Production demands have forced the search for strategies such as automatic diagnosis to maintain continuous production with minimized machine failures. An ...

Envíos recientes

Behavior computational tool for detection and diagnosis oscillations in a control systems
...
Hadechni Bonett, Samir | 2020-07

Control systems receive input signals to execute a process, resulting in an output. Based on this sequence, the computational tool has the function of detecting and diagnosing anomalies in the system. The oscillation diagnosis of the system is based on the analysis of the oscillations generated by any disturbance, whether internal or external. The most appropriate form of detection is through noninvasive methods, therefore, there are some specialized in system improvements such as; detection of peaks in the power spectrum (FFT), the method based on time domain criteria and the absolute error integral (IAE) and the method based on the autocovariance function (ACF). The computational tool aims to detect oscillations of closed-loop control systems, through the 'IAE', 'ACF' and 'FFT' method.

LEER
Non-obtrusive stiction detection methods for control systems
...
Escobar Davidson, Leonardo | 2020-08

Industrial processes play a key role in the production sector. Production demands have forced the search for strategies such as automatic diagnosis to maintain continuous production with minimized machine failures. An industrial process provides many measured, controlled, and manipulated variables that associate nonlinearities and uncertainties, so it is necessary to monitor them, to acquire information about the behavior of the process. Historical and present information resulting from monitoring is used to implement intelligent monitoring systems. Within the monitoring scheme is the detection of failures, diagnosis, and restoration of operating conditions according to process performance criteria [1].

LEER

Listar por autor "Ramírez Parra, Jhon"

Behavior computational tool for detection and diagnosis oscillations in a control systems ﻿

Non-obtrusive stiction detection methods for control systems ﻿

Envíos recientes

Behavior computational tool for detection and diagnosis oscillations in a control systems

Non-obtrusive stiction detection methods for control systems

Behavior computational tool for detection and diagnosis oscillations in a control systems

Non-obtrusive stiction detection methods for control systems