Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/57054
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Type: Conference paper
Title: Web services for automated fault analysis in electrical power system
Author: Musaruddin, M.
Zivanovic, R.
Citation: Proceedings of the 5th International Joint Conference on INC, IMS and IDC, 2009: pp.829-832
Publisher: IEEE
Publisher Place: USA
Issue Date: 2009
ISBN: 9780769537696
Conference Name: International Joint Conference on INC, IMS and IDC (5th : 2009 : Seoul, Korea)
Editor: Kim, J.
Delen, D.
Park, J.
Ko, F.
Rui, C.
Lee, J.H.
Wang, J.
Kou, G.
Statement of
Responsibility: 
Mustarum Musaruddin and Rastko Zivanovic
Abstract: Web Services for Automated Fault Analysis (WS-AFA) in Electrical Power System is described in this paper. WS-AFA is a new solution to investigate and analyze fault and disturbance records from Digital Fault Recorders (DFRs) or other Intelligent Electronic Devices (IEDs) in substations. The paper describes the overall system architecture as well as the implementation of the services. C# and Dot NET technology has been successfully used for efficient implementation of the web services. WS-AFA is composed of signal segmentation, signal analysis, fault type classification, fault recorded viewer and fault location services. Such services are designed to enhance manual investigation performed by engineers in power utility.
Keywords: Automated Fault Analysis
Web Services
Service-Oriented Architecture
DOI: 10.1109/NCM.2009.352
Published version: http://dx.doi.org/10.1109/ncm.2009.352
Appears in Collections:Aurora harvest
Electrical and Electronic Engineering publications

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