Testing Bench for Remote Practical Training in Electric Machines

Herrera, María Reyes Sánchez; Andújar, José Manuel; Borrero, A. Mejías; Sánchez, Marco Antonio Márquez

doi:10.3182/20130828-3-uk-2039.00076

Cited by 7 publications

(5 citation statements)

References 22 publications

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“…The remote lab of electric machines is composed of a synchronous generator driven by a DC machine, (Herrera et al 2013). The student can vary the field current of the first device, maintaining constant the speed of rotation.…”

Section: Introductionmentioning

confidence: 99%

Comparing Remote Laboratories from the Student Perspective

et al. 2015

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The objective of this paper is the identification of the variables which affect the acceptation by the students of two kinds of remote laboratories (photovoltaic panels and electric machines) in Higher Education. To achieve it, the Technology Acceptation Model is used and usability and usefulness are the considered factors. Two pilot experiences are carried out over a sample of 86 students which are studying the Energy Engineering Degree. 45 of them (52.3%) carry out the electric machines lab class and 41 (47.7%) the photovoltaic one. After a descriptive analysis, an exploratory and multivariate analysis is carried out. It allows the identification of relations between several variables which affect to the acceptation of both remote labs.

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Section: Introductionmentioning

confidence: 99%

Comparing Remote Laboratories from the Student Perspective

et al. 2015

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“…Work in this direction is ongoing but the speed of measuring devices also depends on the structure of noise-like signals. Thus, in [5], a high-speed method for determining changes in dynamic parameters of electric motors is proposed, which is based on the use of powerful computing devices. However, taking into account the cost of the means of achieving such a result, it can be concluded that there are cheaper and promising solutions since the main problem is not only to detect such changes but also to be able to respond to further changes as soon as possible.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Designing tools for assessing the reliability of electric motor torque measurements by using identifiers of anomalous deviations in a noisy signal system

Kvasnikov,

Kvashuk,

Prygara

et al. 2023

EEJET

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The problem of the reliability of measurements of rotational parameters of electric motors was solved, which was focused on the development of an algorithm for evaluating measurements under conditions of additional noise. An analysis of methodological approaches and mathematical tools used to process and interpret the uncertainty of measurement results was carried out. Cases where they may not be effective due to high noise levels were considered. To detect anomalies in the signal, an algorithm for assessing the reliability of measurements using fuzzy logic was proposed. A structural diagram of the model for measuring the torque of an electric motor under the conditions of a noisy signal was developed, where transfer functions were used to model the angular velocity and torque parameters. A method for detecting anomalies in noisy signals is presented, which identifies the amplitude and time characteristics of spiking pulses. The method includes the application of a wide range of analytical tools for deep analysis of signals and is particularly effective for detecting anomalies that may be hidden in background noise. A prototype of a measuring bench was developed, which uses neural networks to detect anomalies when measuring the rotational parameters of electric motors, which made it possible to obtain a training sample using a sample electric motor and apply it to evaluate the parameters of another electric motor. In a practical aspect, the developed methods and technological solutions for improving the reliability of measurements of rotational parameters of electric motors could be used to make corrections in existing systems. In particular, they could be used in industry, electric transport, as well as in the aerospace and military sectors where the reliability of measuring systems is important

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“…For this reason, Sáenz et al [17] proposed a structure that allows a remote connection with hardware devices by using a clientserver configuration that serves to the client a JavaScript application; leaving the server a task of running the Java part of the virtual and remote lab. A similar solution was deployed in Herrera et al [18]. They made use of a software solution to provide the security of machinery within their remote bench for testing electrical machine based on Easy Java Simulation (EJS) to connect the real hardware to the user interface for controlling (i) the load voltage and frequency when the machine is connected to the load in an islanded way, and (ii) the active and reactive power injected to the net when the machine is directly connected.…”

Section: Securitymentioning

confidence: 99%

Guideline to Safety and Security in Federated Remote Labs

et al. 2021

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The interest of the educational community in the laboratory- (lab) based education has grown steadily. As remote labs have started to be a reliable alternative to traditional hands-on labs, security and safety issues are becoming increasingly important, as their interconnected nature raises new and challenging issues. The complexity increases when multiple institutions are involved in a federated lab infrastructure. This paper provides a guideline for assessing safety and security in federated labs following the VDI/VDE 2182 guideline and verifies the concept based on remote labs in three different academic institutions.

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Testing Bench for Remote Practical Training in Electric Machines

Cited by 7 publications

References 22 publications

Comparing Remote Laboratories from the Student Perspective

Comparing Remote Laboratories from the Student Perspective

Designing tools for assessing the reliability of electric motor torque measurements by using identifiers of anomalous deviations in a noisy signal system

Guideline to Safety and Security in Federated Remote Labs

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