0% Complete
صفحه اصلی
/
سی و دومین کنفرانس بین المللی مهندسی برق
Φ-OTDR Event Classification Using Machine Learning and Optical Signal Processing
نویسندگان :
Amir Babaoughli
1
Tohid Alizadeh
2
Seyed Sadra Kashef
3
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