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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Discovery of Corrosion Patterns using Symbolic Time Series Representation and N-gram Model

Author 1: Shakirah Mohd Taib
Author 2: Zahiah Akhma Mohd Zabidi
Author 3: Izzatdin Abdul Aziz
Author 4: Farahida Hanim Mousor
Author 5: Azuraliza Abu Bakar
Author 6: Ainul Akmar Mokhtar

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2018.091278

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 12, 2018.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: There are many factors that can contribute to corrosion in the pipeline. Therefore, it is important for decision makers to analyze and identify the main factor of corrosion in order to take appropriate actions. The factor of corrosion can be analyzed using data mining based on historical datasets collected from monitoring sensors. The purpose of this study is to analyze the trends of corroding agents for pipeline corrosion based on symbolic representation of time series corrosion dataset using Symbolic Aggregation Approximation (SAX). The paper presents the analysis and evaluation of the patterns using N-gram model. Text mining using N-gram model is proposed to mine trend changes from corrosion time series dataset that are transformed as symbolic representation. N-gram was applied for the analysis in order to find significant symbolic patterns that are represented as text. Pattern analysis is performed and the results are discussed according to each environmental factor of pipeline corrosion.

Keywords: Pipelines corrosion analysis; Symbolic Aggregation Approximation (SAX) representation; corrosion patterns; corrosion factor

Shakirah Mohd Taib, Zahiah Akhma Mohd Zabidi, Izzatdin Abdul Aziz, Farahida Hanim Mousor, Azuraliza Abu Bakar and Ainul Akmar Mokhtar, “Discovery of Corrosion Patterns using Symbolic Time Series Representation and N-gram Model” International Journal of Advanced Computer Science and Applications(IJACSA), 9(12), 2018. http://dx.doi.org/10.14569/IJACSA.2018.091278

@article{Taib2018,
title = {Discovery of Corrosion Patterns using Symbolic Time Series Representation and N-gram Model},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.091278},
url = {http://dx.doi.org/10.14569/IJACSA.2018.091278},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {12},
author = {Shakirah Mohd Taib and Zahiah Akhma Mohd Zabidi and Izzatdin Abdul Aziz and Farahida Hanim Mousor and Azuraliza Abu Bakar and Ainul Akmar Mokhtar}
}


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