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Application of Artificial Neural Network for Analysis of Self-Excited Induction Generator

Khela, Raja Singh et al · SEDICI UNLP · 2006

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Author / responsible party
Khela, Raja Singh et al
Publisher
SEDICI UNLP
Year
2006
Language
English

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It is observed that conventional techniques to analyse the steady state analysis of Self-Excited Induction Generator (SEIG) involve cumbersome mathematical procedures. In this paper an Artificial Intelligence (AI) technique has been used to analyse the behaviour of Self-Excited Induction Generator, which does not require rigorous modelling as required in conventional techniques. Proposed Artificial Neural Network (ANN) model has been implemented to predict the effect of speed, capacitance and load on generated voltage and frequency of SEIG. Experimental data is used for the training of ANN. Results obtained from the trained ANN are found to be in close agreement with the experimental results. Facultad de Informática

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APA 7

Khela, R. S. E. A. (2006). Application of Artificial Neural Network for Analysis of Self-Excited Induction Generator. http://sedici.unlp.edu.ar/handle/10915/9541

MLA

Khela, Raja Singh et al. "Application of Artificial Neural Network for Analysis of Self-Excited Induction Generator." 2006. http://sedici.unlp.edu.ar/handle/10915/9541.

Chicago

Khela, Raja Singh et al. 2006. "Application of Artificial Neural Network for Analysis of Self-Excited Induction Generator.". http://sedici.unlp.edu.ar/handle/10915/9541.

Harvard

Khela, R. S. E. A. 2006, Application of Artificial Neural Network for Analysis of Self-Excited Induction Generator, SEDICI UNLP, available at: http://sedici.unlp.edu.ar/handle/10915/9541 [Accessed 7 Aug. 2026].

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Title
Application of Artificial Neural Network for Analysis of Self-Excited Induction Generator
Author / contributors
Khela, Raja Singh et al
Publisher
SEDICI UNLP
Publication year
2006
Language
English

Subjects

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Ciencias Informáticas; Connectionism and neural nets; ARTIFICIAL INTELLIGENCE
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