Faults Feature Extraction Using Discrete Wavelet Transform and Artificial Neural Network for Induction Motor Availability Monitoring—Internet of Things Enabled Environment

<b>Motivation:</b> This paper presents the high contact resistance (HCR) and rotor bar faults by an extraction method for an induction motor using Discrete Wavelet Transform (DWT) and Artificial Neural Network (ANN). The root mean square (RMS) and mean features are obtained using DWT, and ANN is use...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Muhammad Zuhaib, Faraz Ahmed Shaikh, Wajiha Tanweer, Abdullah M. Alnajim, Saleh Alyahya, Sheroz Khan, Muhammad Usman, Muhammad Islam, Mohammad Kamrul Hasan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-10-01
coleção:	Energies
Assuntos:	induction motors MCSA DWT ANN IoT security resources availability
Acesso em linha:	https://www.mdpi.com/1996-1073/15/21/7888
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!