Analysis of training techniques of ANN for classification of insulators in electrical power systems
| Autor: | Ademir Nied, Nathielle Waldrigues Branco, Rafael Bartnik Grebogi, Luiz Henrique Meyer, Erlon Cristian Finardi, Andreza Sartori, Douglas Wildgrube Bertol, Stéfano Frizzo Stefenon |
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| Rok vydání: | 2020 |
| Předmět: |
Artificial neural network
Mean squared error Computer science 020209 energy 020208 electrical & electronic engineering Energy Engineering and Power Technology 02 engineering and technology Grid Field (computer science) Reliability engineering Identification (information) Electric power system Control and Systems Engineering Convergence (routing) 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Gradient descent |
| Zdroj: | IET Generation, Transmission & Distribution. 14:1591-1597 |
| ISSN: | 1751-8695 |
| Popis: | Identifying defects in electrical power systems during field inspections is a difficult task, since faults are generally not visible and may be intermittent. To find possible adverse conditions, specific inspection equipment is used. The ultrasound detector is the equipment normally used to inspect outdoor insulating systems; however, using it demands operator experience. To improve the defect condition classification, artificial intelligence techniques are applied to assist the operator in the decision task and thereby facilitate the identification of faulty insulating devices in the grid. The training of artificial neural network (ANN) models is an important step in solving the classification problem. This study aims to evaluate the training capacity in terms of the performance of different optimisation methods for the calculation of the mean square error after convergence. Traditional methods such as Gradient Descent and its variations will be presented, as well as methods that employ high computational effort such as quasi-Newton and Levenberg–Marquardt. In order to base these concepts, a review will be presented on the use of these algorithms and on the problem of classification of insulators in distribution networks. The results show that there is a considerable performance difference between the calculation methods. |
| Databáze: | OpenAIRE |
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