Photovoltaic system faults diagnosis using discrete wavelet transform based artificial neural networks

Autor: A. A. Bengharbi, S. Laribi, T. Allaoui, A. Mimouni

Publikováno v: Електротехніка і Електромеханіка; № 6 (2022); 42-47
Электротехника и Электромеханика; № 6 (2022); 42-47
Electrical Engineering & Electromechanics; No. 6 (2022); 42-47

Introduction. This research work focuses on the design and experimental validation of fault detection techniques in grid-connected solar photovoltaic system operating under Maximum Power Point Tracking mode and subjected to various operating conditio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50fc3bc4a2bfcbff3b97dc926fe86b0c
https://doi.org/10.20998/2074-272x.2022.6.07

Application of a wavelet neural network approach to detect stator winding short circuits in asynchronous machines

Autor: S. Sakhara, M. Brahimi, L. Nacib, T. M. Layadi

Publikováno v: Електротехніка і Електромеханіка; № 3 (2023); 21-27
Электротехника и Электромеханика; № 3 (2023); 21-27
Electrical Engineering & Electromechanics; No. 3 (2023); 21-27

Introduction. Nowadays, fault diagnosis of induction machines plays an important role in industrial fields. In this paper, Artificial Neural Network (ANN) model has been proposed for automatic fault diagnosis of an induction machine. The aim of this

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5678680251aefeedf7668f89462520d
http://eie.khpi.edu.ua/article/view/274687

Повышение метрологических характеристик средств измерений путем дискретной вейвлет-фильтрации шумов методом рекурсии

Publikováno v: Український метрологічний журнал / Ukrainian Metrological Journal; № 2 (2022); 15-20
Украинский метрологический журнал / Ukrainian Metrological Journal; № 2 (2022); 15-20
Ukrainian Metrological Journal; No. 2 (2022); 15-20

The method of recursive discrete wavelet noise filtering for improving metrological characteristics of measuring instruments was investigated for the first time. Methods with a common threshold for all decomposition levels, methods without threshold

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=scientific_p::be82c5b9fc20cded6301ca4aaa354501
http://umj.metrology.kharkov.ua/article/view/263869

Информационная технология оценки качества обработки металлических поверхностей методом вейвлет-анализа

Publikováno v: Новые материалы и технологии в металлургии и машиностроении; № 2 (2021): НМТ; 55-60
Нові матеріали і технології в металургії та машинобудуванні; № 2 (2021): НМТ; 55-60
New Materials and Technologies in Metallurgy and Mechanical Engineering; No. 2 (2021): НМТ; 55-60

Purpose. Analyze the effectiveness of using wavelet analysis to assess the quality of metal surfaces. Develop information technology information technology to automate the process of assessing the quality of metal surfaces by wavelet analysis. Method

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=scientific_p::dbd356643fff8c6c72ece699b2754c38
http://nmt.zntu.edu.ua/article/view/252951

Розробка удосконаленого методу розпізнавання об’єктів моніторингу згортковою нейронною мережею з використанням дискретного вейвлет-перетворення

Publikováno v: Eastern-European Journal of Enterprise Technologies; Vol. 4 No. 9(112) (2021): Information and controlling system; 65-77
Eastern-European Journal of Enterprise Technologies; Том 4 № 9(112) (2021): Информационно-управляющие системы; 65-77
Eastern-European Journal of Enterprise Technologies; Том 4 № 9(112) (2021): Інформаційно-керуючі системи; 65-77

The tasks that unmanned aircraft systems solve include the detection of objects and determining their state. This paper reports an analysis of image recognition methods in order to automate the specified process. Based on the analysis, an improved me

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=scientific_p::870febb596a007383ad043aca136f542
http://journals.uran.ua/eejet/article/view/238601