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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/26105
Title: Extracting anomalies from time sequences derived from nuclear power plant data by using fixed width clustering algorithm
Authors: Gupta A.
Toshniwal, Durga
Gupta P.K.
Khurana V.
Upadhyay P.
Published in: Proceedings of the 2013 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013
2013 2nd International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013
Abstract: Time series is basically data recorded at successive points in time. In this paper we have analyzed time series data provided to us by Nuclear Power Corporation of India. We aim to find anomalies, correlations and patterns in the time series. In a nuclear reactor, anomalies can be generated due to various reasons, and it is important to identify the anomalies so that the cause of the anomaly can be found and corrective action can be taken. In order to analyze the dataset we have used Fixed Width Clustering Algorithm. While using this algorithm, we have proposed a dynamic method for deciding the cluster width that is used in clustering. We have also identified correlations between parameters in the dataset. We have cross checked all our results. © 2013 IEEE.
Citation: Proceedings of the 2013 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013 (2013): 1587-1592
URI: https://doi.org/10.1109/ICACCI.2013.6637417
http://repository.iitr.ac.in/handle/123456789/26105
Issue Date: 2013
Keywords: Anomaly Detection
Fixed Width Clustering Algorithm
Time Series
ISBN: 9781467362153
Author Scopus IDs: 57201934821
8683737500
57199837059
55995072200
55995605900
Author Affiliations: Gupta, A., Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India
Toshniwal, D., Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India
Gupta, P.K., CandI and RandD-ES, Nuclear Power Corporation of India Ltd. Mumbai, India
Khurana, V., CandI and RandD-ES, Nuclear Power Corporation of India Ltd. Mumbai, India
Upadhyay, P., CandI and RandD-ES, Nuclear Power Corporation of India Ltd. Mumbai, India
Funding Details: 
Corresponding Author: Department of Computer Science and Engineering, , Roorkee, India
Appears in Collections:Conference Publications [CS]

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