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
Noninvasive Diagnosis of the Type of Breast Tumor through Artificial Neural Networks
Pooya Tahmasebi - Maryam Mehdizadeh Dastjerdi - Ali Fallah - Saeid Rashidi
Dual-Input Single-Output High Step-Up DC-DC Converter for Renewable Energy Applications
Farid Mohammadi - Amir Khorsandi
A New High Voltage Gain Z-Source Based DC-DC Converter for High-Power DG Applications
Sakina Bakhshi - Reza Beiranvand
Manifold Learning-Assisted Physical Layer Key Generation for LoRaWAN: an Experimental Study
Hossein Aghajari - Hamed Bakhtiari babadegani, - Mehdi Naderi soorki - Sajad Ahmadinabi - Seyed mohsen Ahmadi
Atrial Fibrillation (AF) Detection Using Deep Learning with GAN-based Data Augmentation
Amirhossein Akhoondkazemi - Arash Vashagh - Sayed Jalal Zahabi - Davood Shafie
Using GA and ML to Improve LoRa Network Performance
Yas Hosseini Tehrani - Seyed mojtaba Atarodi
Improved quantum secret sharing based on entanglement swapping
Mahsa Khorrampanah - Monireh Houshmand - Ali Karimi Lenji
Data Association and Multi-Target Localization Using Particle Swarm Optimization
Seyed Mohammad B. Seyedin - Fereidoon Behnia
An Enhanced Chaotic System Based Color Image Encryption using DNA Encoding
Mobin Vaziri - Mohammad Mehdi Rahimifar - Hadi Jahanirad
A New Unsupervised Feature Learning Method for Object Recognition using Prior-Knowledge Data
Ashkan Farrokhi - Hadi Seyedarabi
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.0.4