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
Simulation and Measurement of a Large Reverberation Chamber (LRC) Loaded by Metal Elements
Mojtaba Basravi - ZakerHossein Firouzeh - Hadi Aliakbarian
Study of Plasmonic Perfect Absorber Using Three Dimensional Silver Double Triangle-Shaped Nanoparticles
Mohammad Reza Rakhshani
A new double rotor switched reluctance motor aiming at average torque improvement
Reza Rezaei - Seyed Reza Mousavi Aghdam
بهبود تابآوری شبکههای توزیع سنتی در مرحله پیش از حادثه به کمک بازآرایی با الگوریتم ارگانیسم همزیستی
حسین بایسته - رضا شیردره - محمد احمدوند
A novel wideband low profile Fabry-Perot cavity antenna using single-layer partially reflective surface
Mahtab Ghanbari - Bijan Abbasi arand - Maryam Hesari shermeh
Low VHF Wire Antenna with Low-cost and Wideband Properties
Mahdieh Bozorgi - Mahmood Rafaei-booket - Sina Hasibi-Taheri
Fatigue Detection in SSVEP-Based BCIs Using Biomarkers: A Comparative Study
Maedeh Azadi Moghadam - Ali Maleki
پیشبینی بازار سرمایه به کمک دادهکاوی با الگوریتمهای رگرسیونی
شیوا نمایان - محمدشهرام معین
Low-Loss, Low-Drive Voltage, and High-Bandwith Thin-Film Lithium Niobate Modulator Using Coaxial Transmission Line
Mohsen Karimian Kakolaki - Ahmad Bakhtafrouz - Parisa Karimi
Optimized 5G-MMW Compact Yagi-Uda Antenna Based on Machine Learning Methodology
Alireza Jafarieh - Mahdi Nouri - Hamid Behroozi
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 41.7.4