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      •   صفحهٔ اصلی
      • نشریات انگلیسی
      • Journal of Advances in Computer Engineering and Technology
      • Volume 3, Issue 3
      • مشاهده مورد
      •   صفحهٔ اصلی
      • نشریات انگلیسی
      • Journal of Advances in Computer Engineering and Technology
      • Volume 3, Issue 3
      • مشاهده مورد
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      Developing A Fault Diagnosis Approach Based On Artificial Neural Network And Self Organization Map For Occurred ADSL Faults

      (ندگان)پدیدآور
      Golmah, VahidTashakori, Mina
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      نوع مدرک
      Text
      Case Report
      زبان مدرک
      English
      نمایش کامل رکورد
      چکیده
      Telecommunication companies have received a great deal of research attention, which have many advantages such as low cost, higher qualification, simple installation and maintenance, and high reliability. However, the using of technical maintenance approaches in Telecommunication companies could improve system reliability and users' satisfaction from Asymmetric digital subscriber line (ADSL) services. In ADSL systems, there are many variables giving some noise for classification and there are many fault patterns with overlapping data. Therefore, this paper proposes a multilayer perceptron (MLP) classifier integrated with Self Organization Map (SOM) models for fault detection and diagnosis (FDD) of occurred ADSL systems. The interest of this paper is to improve the performance of single MLP by dividing the fault pattern space into a few smaller sub-spaces using SOM clustering technique and triggering the right local classifier by designing a supervisor agent. The performances of this method are evaluated on the fault data of Iranian Telecommunication Company which develop ADSL services and then the proposed algorithm is also compared against single MLP. Finally, the results obtained by this algorithm are analyzed to increase user's satisfaction with reducing occurred faults for them with predicting before they face it.
      کلید واژگان
      Fault Detection and Diagnosis (FDD)
      data mining
      Self Organization Map (SOM)
      multilayer perceptron Artificial Neural Network (MLP-ANN)
      Data Mining

      شماره نشریه
      3
      تاریخ نشر
      2017-08-01
      1396-05-10
      ناشر
      Science and Research Branch,Islamic Azad University
      سازمان پدید آورنده
      Department of Computer Engineering, Neyshabur Branch, Islamic Azad University, Neyshabur,Iran
      Computer Engineering Department Ferdowsi University of Mashhad Mashhad, Iran

      شاپا
      2423-4192
      2423-4206
      URI
      http://jacet.srbiau.ac.ir/article_10495.html
      https://iranjournals.nlai.ir/handle/123456789/21322

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