UGC Approved Journal no 63975(19)

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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRCV06038


Registration ID:
217776

Page Number

194-197

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Title

A Novel Soft Failure Diagnosis System in Optical Spectrum Using Neural Network Classifier

Abstract

As a result of the huge amount of traffic, failure detection is critical in optical network communication. Therefore, the source of failure needs to be identified so that failed resources can be eliminated from the calculation of restoration paths. In this paper, several machine learning approaches for soft-failure detection and identification are explored. Three different solutions for the most common filter-related soft-failures; filter shift and tight filtering which noticeably deform the expected shape of the optical spectrum are presented here. Filter cascading is similar to filter tightening as it affects the shape of the optical spectrum. To improve the classification accuracy, a neural network is used as a classifier in all three approaches. So classification outcome for all features of the input spectrum is obtained and this will improve the detection performance of the fault detection system. The proposed solutions for filter related soft-failures are: i) multi-classifier approach, which uses features directly extracted from the optical spectrum ii) single-classifier approach, which uses pre-processed features to compensate for filter cascading, and iii) residual-based approach, which uses a residual signal calculated from subtracting the signal acquired by OSAs from a synthetically generated expected signal.

Key Words

Optical Spectrum Analyzer (OSA), Optical Performance Monitoring, Soft-Failure Detection and Identification.

Cite This Article

"A Novel Soft Failure Diagnosis System in Optical Spectrum Using Neural Network Classifier ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.194-197, May 2019, Available :http://www.jetir.org/papers/JETIRCV06038.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A Novel Soft Failure Diagnosis System in Optical Spectrum Using Neural Network Classifier ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp194-197, May 2019, Available at : http://www.jetir.org/papers/JETIRCV06038.pdf

Publication Details

Published Paper ID: JETIRCV06038
Registration ID: 217776
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 194-197
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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