0% Complete
صفحه اصلی
/
سی امین کنفرانس بین المللی مهندسی برق
Design an Intelligent Fault Detection System for Spring-Drive Operating Mechanism of SF6 High Voltage Circuit Breaker Using ADAMS
نویسندگان :
Milad Tahvilzadeh
1
Mehdi Aliyari Shooredeli
2
Ali asghar Razi Kazemi
3
1- دانشگاه خواجه نصیرالدین طوسی
2- دانشگاه خواجه نصیرالدین طوسی
3- دانشگاه خواجه نصیرالدین طوسی
کلمات کلیدی :
High voltage circuit breaker (HVCB), Fault detection, Machine Learning, Travel curve (TC)
چکیده :
High-voltage circuit breakers (HVCBs) are one of the main components of a power system that have a protective function. That is why monitoring and faults diagnosing HVCBs are essential to prevent damage to other parts of system. This paper presents a design of an intelligent fault detection system, using machine learning algorithms for a typical EDF, 72.5 kV, SF6 HVCB with a spring drive mechanism. The faults of the drive mechanism appear in the travel curve of the contacts, which is used in the design of the fault detection model. As collecting experimental data is costly, ADAMS software has been employed to provide various scenarios. Subsequently, the database required to train the fault detection model is generated based on the extracting the appropriate feature from the curves. Afterwards, it is possible to compare the performance of machine learning models and provide a suitable model for fault detection. Finally, using the optimum model enables us to detect the state of the HVCBs. In the case of faulty state, the origin of the abnormality can be determined according to the faults considered in the database.
لیست مقالات
لیست مقالات بایگانی شده
A Methodology for the Design of a Single-Sided Axial-Flux Permanent Magnet (AFPM) Motor for Lathe Machines
Ali Jamali-Fard - Mojtaba Mirsalim
Simulation of Two Metal- Semiconductor- Metal Photodetectors for Sensing Power and Angle of Incident Light
Shakila Karami - Maryam Khodadai - Nosrat Granpayeh
Primary-Side Nonlinear Model Predictive Control for Dynamic Wireless Power Transfer System in Electric Vehicles
Kioumars Shahriari - Salar Sadeghian - Sahand Fardadidokht Fooman - Adib Abrishamifar
Plasmonic Refractive Index Sensor Using a Metal-Insulator-Metal Waveguide with a Disk-shaped Cavity and Silver Nanorod Defects
Mohammad Ghanavati - Mohammad-Azim Karami
The change in Individual Alpha Frequency during Neurofeedback training
Maryam Dorvashi - Neda Behzadfar
A straightforward approach for measuring blood pressure in an upper arm digital blood pressure monitor
Mohammad Soroush Rezaei - Mahdi Khalilzadeh Shabestari - Seyed Yousef Jazaery Farsany - Danial Katoozian - Hossein Hosseini-Nejad
A Lightweight Authentication Protocol For M2M Communication In IIoT Using Physical Unclonable Functions
Elaheh Kharghani - Saeed Aliakbari - Javad Bidad - Amir masoud Aminian moddares
Denoising of the Diffusion Tensor Imaging Data Using k-Space Redundancy
Khashayar Esmaeilzadeh - Farzaneh Keyvanfard - Abbas Nasiraei Moghaddam
An Improved Authentication & Key Exchange Protocol Based on ECDH for WSNs
Sina Baghbanijam - Hanie Sanaei - Mahdi Farajzadeh
Energy Efficiency of UAV-based mmWave-mMIMO Systems Using Low-Precision ADCs
Sogol Moshirvaziri - Jamshid َAbouei
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.0.4