Design of Fault Diagnosis Expert System of Transformer

Sun, Tao; Liu, Hai Bo

doi:10.4028/www.scientific.net/amm.291-294.2557

Cited by 4 publications

(5 citation statements)

References 4 publications

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“…Esta clase de sistemas codifican una base de conocimientos y reglas de razonamiento para determinar o concluir la solución de un problema particular. Se encuentran formados por diversas partes vinculadas entre sí: una base de reglas, una base de hechos, un motor de inferencia y una interfaz de usuario (Sun and Liu, 2013). La figura 1 muestra la composición tradicional de un sistema experto.…”

Section: Sistemas Expertosunclassified

Sistema experto como herramienta de apoyo en el aprendizaje de tópicos de Cálculo

Ledesma

González

Orozco

2016

recacym

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Los sistemas expertos son herramientas que pueden diagnosticar y apoyar el desarrollo del aprendizaje de los estudiantes, ayudando a mejorar sus debilidades una vez que han determinado su nivel cognoscitivo. El presente trabajo pretende desarrollar un sistema experto como herramienta de apoyo para la enseñanza de algunos temas de Cálculo, empleando redes bayesianas como motor de inferencia y registros de representación semiótica para la base del clasificador probabilístico. Se distinguen dos etapas: la primera consiste en diagnosticar ciertas debilidades en el estudiante; la segunda permite enfatizar la forma en la que se tratarán los aspectos relacionados con el aprendizaje y la manera en que serán presentados los tópicos del área a reforzar.

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Section: Sistemas Expertosunclassified

Sistema experto como herramienta de apoyo en el aprendizaje de tópicos de Cálculo

Ledesma

González

Orozco

2016

recacym

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“…Optimization problems are working and interacting with students through a virtual tutor who tells the procedure to be followed at all times. As shown in Figure 1, the student begins to access the pretest module, where it presents a diagnostic test that, through various reagents, assesses student skills and deficiencies [6]. Figure 2 shows an example of the graphical user interface (GUI) provided to the student to work with the pretest.…”

Section: Methodsmentioning

confidence: 99%

“…Are formed by various interrelated parts: a rule base, a base of facts, an inference engine and an user interface [6].…”

Section: B Expert Systemsmentioning

confidence: 99%

Selection of Mathematical Problems in Accordance with Student’s Learning Style

Ledesma¹,

García²

2017

ijacsa

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Abstract-This article describes the implementation and development of an expert system as a support tool to tackle mathematical topics, by using Bayesian networks as engine of inference and a learning styles, as well as the difficulty level of problems and establish the base of the classifier probabilistic. The expert system makes decisions as which element to visualize at a specific moment, gives the student the best resource, and supervises the user progress. The article is divided into three sections, the first one deals with the construction of the expert system, the second one presents the operation of the system through the classification of students consistent with their profile, which is based on the prevailing learning style among them and in the difficulty level that problems have so that the student reaches in solving successfully. It also shows the operability of the system in respect of the allocation of digital resources in accordance with the identified profile and gradually provides more assignments with different difficulty levels, as the student progresses. An experimental study was performed by means of which the system was assessed under 30 students to the level of engineering and those who studied the Applied Calculus course in their second semester of the degree course. This group was named the study group (SG). The SG used the system for one semester. The results at the initial and final evaluation were from 3.58 to 7.37 for CG and SG respectively. Applying the F test, a statistically significant difference in increase was found (p <0.002). These results showed that SG identified the concept of derivative and applied that concept correctly in real problems solving correctly 74% of the final questionnaire, so it is concluded that the system expert opens a new way in educational research.

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“…These faults cause electric flow disruption, equipment damage, bird and other animal deaths, and even possible human casualties. A substantial body of scientific work deals with the problem of determining faults in the power system and the characteristics of these faults concerning their impact on system availability [1][2][3][4][5]. Some papers describe the location function and methods for determining the state of circuit breakers in the power system [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

“…The function h(x) is a nonlinear function relating measured quantities and states, and v is a random vector representing normally distributed measurement errors. Each error is supposed to have zero mean, represented in(2). The set z represents m measured variables that generally consist of node active and reactive power flows in nodes and branches and node voltage magnitudes and phase angles (the set x).…”

mentioning

confidence: 99%

Real-Time Circuit Breaker Availability Assessment in the Transmission Network

Petrović¹,

Glavaš

Noskov³

et al. 2021

Applied Sciences

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Circuit breakers (CBs) in the transmission network are the basic elements for energy flow control. CB diagnosis represents a decisive action for increasing power system reliability and safety. Their actual availability status and ability to perform major functions can sometimes be difficult to determine. This paper presents a general state estimation model based on fuzzy logic (FL), membership function (MF), and expert knowledge for diagnosis schemes to handle unclear information in the diagnosis procedure. The proposed model uses inputs from the Supervisory Control and Data Acquisition (SCADA) system, data on the position and state of the switch, changes in current in the network element CB (NECB), start or trip action of a protection relay on the NECB, and alarm status of the CB. For the diagnostic system input variables, data from the SCADA system, along with transformer and line protection devices, are used to allow the proper formation of rules and ultimately to determine the diagnostic status of the CB. The proposed method is tested on an authentic test power system, and the outcome results are compared with a previously reported technique. The obtained test results and the comparison prove the efficiency, authenticity, and fast operation feature of the suggested strategy.

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Design of Fault Diagnosis Expert System of Transformer

Cited by 4 publications

References 4 publications

Sistema experto como herramienta de apoyo en el aprendizaje de tópicos de Cálculo

Sistema experto como herramienta de apoyo en el aprendizaje de tópicos de Cálculo

Selection of Mathematical Problems in Accordance with Student’s Learning Style

Real-Time Circuit Breaker Availability Assessment in the Transmission Network

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