Application of Artficial Neural Network in Fault Diagnosis with Clearance Time

Rengarajan N*, Palani S**, Ravichandiran C.S***
* Principal, Vi'vekanandhalnstitute of Englneerlng&Technology,Tlruchengode, India
**Dean,Department of Electronics and CommunicaflonEngineering, Sona College ofTechnoiogy, Salem, India
***Assistant Professor,Department of EEE, SriRamakrshnaCoiiege of Engineering, Coimbatore.
Periodicity:July - September'2007
DOI : https://doi.org/10.26634/jse.2.1.672

Abstract

This paper presents a neural network (NN) based method for fault classification with its clearance time, in a power system. A new method of generating the training data is proposed which has the advantage that the total number of fault simulations needed to generate the training patterns is less than that required by the conventional training method. The performance of the proposed method is investigated using the Matlab simulation model of a simple HVDC system.

Keywords

How to Cite this Article?

Rengarajan N, Palani S and Ravichandiran C.S (2007). Application of Artficial Neural Network in Fault Diagnosis with Clearance Time. i-manager’s Journal on Software Engineering, 2(1), Jul-Sep 2007, 24-29. https://doi.org/10.26634/jse.2.1.672

References

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