Intelligent incipient fault detection in wind turbines based on industrial IoT environment
PHF De Sousa, M Navar de Medeiros… - Journal of Artificial …, 2019 - iecscience.org
The eagerness and necessity to develop so-called smart applications has taken the Internet
of Things (IoT) to a whole new level. Industry has been implementing services that use IoT to …
of Things (IoT) to a whole new level. Industry has been implementing services that use IoT to …
Stator inter-turn fault diagnosis of induction motor based on wavelet packet decomposition and random forest
S Liling, Z Kuankuo, L Xiangdong - 8th Renewable Power …, 2019 - ieeexplore.ieee.org
The inter-turn short-circuit fault of the stator winding is one of the most common faults in
induction motor, and its early detection is of great significance for reliable operation of motor …
induction motor, and its early detection is of great significance for reliable operation of motor …
Higher-Order Statistics applied to machine learning as an approach to identify broken rotor bars in induction motors
NMM Nascimento, SPP Silva… - IEEE Latin America …, 2018 - ieeexplore.ieee.org
Induction motors are reported as the horse power in industries. Due to its importance,
researchers have been studied how to predict its faults in order to improve reliability …
researchers have been studied how to predict its faults in order to improve reliability …
[PDF][PDF] To study induction motor external faults detection and classification using ANN and Fuzzy soft computing techniques
KJ Chudasama - Ph. D thesis, 2016 - gtu.ac.in
Induction motors are widely used as electrical load in all kind of industries. Induction motors
are appears to various abnormalities/faults during their operation. Accurate fault …
are appears to various abnormalities/faults during their operation. Accurate fault …
Distributed Fault Diagnosis System based on Wireless Sensor Networks
J Rosero, JAC Peña - Visión electrónica, 2020 - dialnet.unirioja.es
En este artículo presenta el desarrollo de un sistema de monitoreo y diagnóstico distribuido
cuyos nodos remotos se encarguen de la recolección de datos y su posterior análisis para …
cuyos nodos remotos se encarguen de la recolección de datos y su posterior análisis para …
[PDF][PDF] Sistema de diagnóstico distribuido de fallas basado en redes inalámbricas de sensores
JA Caballero-Peña, JA Rosero-García - revistas.udistrital.edu.co
En este artículo presenta el desarrollo de un sistema de monitoreo y diagnóstico distribuido
cuyos nodos remotos se encarguen de la recolección de datos y su posterior análisis para …
cuyos nodos remotos se encarguen de la recolección de datos y su posterior análisis para …
Distributed Fault Diagnosis System based on Wireless Sensor Networks
JAR García, JAC Peña - Visión electrónica, 2020 - revistas.udistrital.edu.co
This article presents the development of a distributed fault diagnosis and monitoring system
whose remote nodes are responsible for data collection and distributed analysis to identify …
whose remote nodes are responsible for data collection and distributed analysis to identify …
Distributed Fault Diagnosis System based on Wireless Sensor Networks.
J Andrés Caballero-Peña… - Visión …, 2020 - search.ebscohost.com
This article presents the development of a distributed fault diagnosis and monitoring system
whose remote nodes are responsible for data collection and distributed analysis to identify …
whose remote nodes are responsible for data collection and distributed analysis to identify …
[PDF][PDF] CIÊNCIA E TECNOLOGIA DO CEARÁ PROGRAMA DE PÓS-GRADUAÇÃO EM ENERGIAS RENOVÁVEIS
LF de Moura, CDEP DE GIRASSOL - ppger.ifce.edu.br
RESUMO SOUZA, JN de. Análise dos efeitos do uso de macrófitas como fertilizante sobre a
fisiologia e a bioquímica de plantas de girassol (Helianthus annuus L.) submetidas aos …
fisiologia e a bioquímica de plantas de girassol (Helianthus annuus L.) submetidas aos …
[引用][C] Winding Shorts Detection in SCIG using Convolutional Neural Networks
RA Ferreira - 2023 - … Federal do Rio Grande do Norte