کنفرانس مهندسی برق ایران

صفحه اصلی / سی و دومین کنفرانس بین المللی مهندسی برق

Φ-OTDR Event Classification Using Machine Learning and Optical Signal Processing

نویسندگان :

Amir Babaoughli¹ Tohid Alizadeh² Seyed Sadra Kashef³

1- Urmia University 2- Urmia University 3- Urmia University

کلمات کلیدی :

OTDR،Fiber optic sensing،Event classification،Machine learning،SVM

چکیده :

Industries such as power communication networks, oil and gas pipelines are among the mother and infrastructure industries, so their continuous maintenance and monitoring are very important. Automating the monitoring of these industries increases their productivity. This work involves monitoring using phase-sensitive optical time domain reflectometry technology along with machine learning. In this method, the features are extracted and pre-processed by maximum relevance - minimum redundancy, and principal component analysis and then given to the support vector machine classifier. Maximum relevance - minimum redundancy ranks the features and principal component analysis improves the performance of support vector machine classifier by mapping the high-score features to a space with high resolution and selecting the features with high information and increases the accuracy of the system. The accuracy of the proposed method was evaluated at 95.46 percent, which significantly improves over previous methods. It is worth mentioning that the dataset used in this study is real and produced in a laboratory environment.

لیست مقالات

لیست مقالات بایگانی شده

پیشنهاد یک ساختار جدید AC/DC مبتنی بر مبدل‌های SEPIC و CUK بهبودیافته برای کاربرد شارژر موتورسیکلت‌های الکتریکی

سجاد قابلی ثانی - رحیم عجبی فرشباف - میثم صادقی - محمد خدایاری

Image quality equations for focused transducer in circular photoacoustic computed tomography

Soheil Hakakzadeh - Zahra Kavehvash

Human Identification based on micro-Doppler images using Residual Networks

Ali Pouresmaeil - Pegah Kakvand - Mohammad Ali Sebt

Image-Based Self-Localization Using Differential Observation Angle Based on Real-World Features

Seyed Mohammad Bagher Seyedin - Mahdi Goodarzi - Fereidoon Behnia

Design and Simulation of a Novel High Sensitive MEMS Microphone Based On a Spring-Supported Circular Diaphragm

Mehdi Pazhooh - Ebrahim Abbaspour-Sani

Deep Learning Meets Explainable AI: A Robust Framework for X-Ray Fracture Detection

Ali Tamizifar - Shakiba Berenjkoub - Mina Amiri

U-Net-based Automotive Radar Target Detection and Recognition

Jamal Kazazi - Seyyed Mohammad Matin AleMohammad - Mahmoud Kamarei

Primary-Side Nonlinear Model Predictive Control for Dynamic Wireless Power Transfer System in Electric Vehicles

Kioumars Shahriari - Salar Sadeghian - Sahand Fardadidokht Fooman - Adib Abrishamifar

تخصیص بهینه نصب خازن‌ها و ایستگاه‌های شارژ خودروهای برقی با مدل‌سازی صف M/M/S و انتخاب گره‌های کاندید مبتنی بر شاخص‌های تلفات، تقاضای شارژ خودروهای برقی و پایداری ولتاژ در شبکه‌ توزیع

رضا قلی پور - محسن حمزه

An Improved Version of the SIPO Algorithm with Fast Convergence Speed

Amir Soltany Mahboob - Hadi Shahriar Shahhoseini - Mohammad Reza Ostadi Moghaddam - Shima Yousefi

بیشتر

ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.5.3