Application of intelligent tools to detect and classify broken rotor bars in three‐phase induction motors fed by an inverter
WF Godoy, IN da Silva, A Goedtel… - IET Electric Power …, 2016 - Wiley Online Library
A comprehensive study of intelligent tools used to classify broken rotor bars in induction
motors, which operate with three different types of frequency inverters, is presented. The …
motors, which operate with three different types of frequency inverters, is presented. The …
An integrated machine learning: Utility theory framework for real-time predictive maintenance in pumping systems
RM Khorsheed, OF Beyca - Proceedings of the Institution of …, 2021 - journals.sagepub.com
Bearings are the most widely used mechanical parts in rotating machinery under high load
and high rotational speeds. Operating continuously under such harsh conditions, wear and …
and high rotational speeds. Operating continuously under such harsh conditions, wear and …
Fault analysis and predictive maintenance of induction motor using machine learning
Induction motors are one of the most crucial electrical equipment and are extensively used
in industries in a wide range of applications. This paper presents a machine learning model …
in industries in a wide range of applications. This paper presents a machine learning model …
The design of multiple linear regression models using a genetic algorithm to diagnose initial short-circuit faults in 3-phase induction motors
Induction motors are robust machines that are often exposed to a variety of environmental
and operating conditions that can result in a number of failures during their use. One such …
and operating conditions that can result in a number of failures during their use. One such …
Evaluation of stator winding faults severity in inverter-fed induction motors
Three-phase induction motor are one of the most important elements of electromechanical
energy conversion in the production process. However, they are subject to inherent faults or …
energy conversion in the production process. However, they are subject to inherent faults or …
An application of artificial neural networks and PCA for stator fault diagnosis in inverter-fed induction motors
WF Godoy, IN da Silva, A Goedtel… - 2016 XXII …, 2016 - ieeexplore.ieee.org
This paper presents a method for fast classification of stator short-circuit faults in a inverter-
fed induction motor operating at steady-state, under a wide range of speed and load …
fed induction motor operating at steady-state, under a wide range of speed and load …
[PDF][PDF] ISTANBUL TECHNICAL UNIVERSITY★ GRADUATE SCHOOL
RM KHORSHEED - 2021 - polen.itu.edu.tr
Ph.D. THESIS JUNE 2021 BUILDING SENSOR-BASED REAL-TIME PREDICTIVE
MAINTENANCE SYSTEM BY UTILIZING ARTIFICIAL INTELLIGENT TECHNIQ Page 1 Ph.D …
MAINTENANCE SYSTEM BY UTILIZING ARTIFICIAL INTELLIGENT TECHNIQ Page 1 Ph.D …
[PDF][PDF] Análise orbital do Full Spectrum de fluxo de dispersão para detecção de falha em motores de indução
ACS Araújo - ufsj.edu.br
O motor de indução é um equipamento essencial no setor industrial. Visto tal importância do
papel desempenhado, o setor de manutenção busca por disponibilidade e confiabilidade …
papel desempenhado, o setor de manutenção busca por disponibilidade e confiabilidade …
Employee Determination Decision Support System at Pt. Pos Indonesia in Medan using the TOPSIS Method (Case Study: Mail Processing Center Office)
S Sianipar - International Journal of Basic and Applied Science, 2019 - ijobas.pelnus.ac.id
Induction motors are the most widely used motors in industry because they are simpler to
maintain, easy to install and less expensive than synchronous motors. However, lack of …
maintain, easy to install and less expensive than synchronous motors. However, lack of …