A High Performance Induction Motor Drive System Using Fuzzy Logic Controller

Muthuselvan, N.B.; Dash, Subharansu Sekhar; Somasundaram, P.

doi:10.1109/tencon.2006.343938

Cited by 7 publications

(2 citation statements)

References 4 publications

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“…In this context, intelligent systems have been used for the identification and also resolution of several issues related to the control and actuation of electrical machines being able to address the failure source still in its early stage [6]- [7]- [8]- [9].…”

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confidence: 99%

Neural approach for bearing fault classification in induction motors by using motor current and voltage

Godoy

Silva

Goedtel

et al. 2014

2014 International Joint Conference on Neural Networks (IJCNN)

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The induction motor is considered one of the most important elements in manufacturing processes. The use of strategies based on intelligent systems capable to classify the presence or absence of failures and also to determine its origin for the diagnosis and faults prediction is widely investigated in three phase induction motors. Thus, the aim of this paper is to present a methodology of bearing failures classification based on artificial neural networks, by using voltage and electric currents values in the time domain. Experimental results collected at real industrial process are presented to validate this proposal.

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mentioning

confidence: 99%

Neural approach for bearing fault classification in induction motors by using motor current and voltage

Godoy

Silva

Goedtel

et al. 2014

2014 International Joint Conference on Neural Networks (IJCNN)

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show abstract

“…Inseridos neste contexto, os Sistemas Inteligentes (SI) têm sido utilizados na identificação e resolução de diversos problemas relacionados ao controle e acionamento de máquinas elétricas sendo capazes de classificar e determinar a origem de falhas ainda 33 em sua fase prematura (MUTHUSELVAN; DASH;SOMASUNDARAM, 2006;SAYOUTI et al, 2011). O objetivo principal destas pesquisas consiste na utilização de técnicas inteligentes como ferramenta complementar aos métodos tradicionais de manutenção preditiva para identificação precoce de falhas.…”

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Multiclassificador inteligente de falhas no domínio do tempo em motores de indução trifásicos alimentados por inversores de frequência

Godoy¹

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V/f-Based Speed Controllers for an Induction Motor Using AI Techniques: A Comparative Analysis

Gupta

Mathew

Chatterji

2014

Advances in Intelligent Systems and Computing

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A High Performance Induction Motor Drive System Using Fuzzy Logic Controller

Cited by 7 publications

References 4 publications

Neural approach for bearing fault classification in induction motors by using motor current and voltage

Neural approach for bearing fault classification in induction motors by using motor current and voltage

Multiclassificador inteligente de falhas no domínio do tempo em motores de indução trifásicos alimentados por inversores de frequência

V/f-Based Speed Controllers for an Induction Motor Using AI Techniques: A Comparative Analysis

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