0% Complete
صفحه اصلی
/
The 5th International Conference on Electrical Machines and Drives
A Comparative Review on Transformer Sound and Vibration Monitoring Methods Interpretation for Transformer Fault Prognosis Using Acoustic Signals
نویسندگان :
Ashkan Teymouri
1
1- Iran transformer Research Institute
کلمات کلیدی :
Transformer،Sound،Vibration،Signal،Fault،Loading،Monitoring،Magnetostriction،Cooling Fan،Core
چکیده :
Transformers vibration noise exists mainly because of the magnetostriction of the silicon steel sheets of the iron core. Because the internal structure of the large transformer is involved, it is difficult to accurately analyze the generation and propagation process of the noise theoretically. It is necessary to explain that transformer vibration and transformer sound measurements and analysis are different, although the origin of both is the same. The most noticeable difference between these two methods is their measurement methods. The transformer sound is measured as a contactless method, but in vibrating measurements, the sensors are mounted on the tank. In this paper, sound and vibration models have been discussed, and finally they have been compared. Then, transformer fault prognosis using real-time sound and vibration signals with 2 different practical studies has been reviewed. It should be noted that for sound signal measurement, there is also the problem of ambient noise, but in contrast, the method of sound level relative to the vibration signal measurement is contactless. Finally, it can be concluded that measuring both signals together to determine the transformer fault is costly, and also, analyzing is time-consuming, but it will lead to more reliable results.
لیست مقالات
لیست مقالات بایگانی شده
Identification of Brushless DC Motor Parameters Using Meta-Heuristic Techniques
Amirhossein Sadeghi-Bahmani - Ramin Alipour-Sarabi
A Novel Dual-PM Flux Reversal Machine With Halbach Array Magnets in Stator Slots
Behzad Aslani - Seyed Ehsan Abdollahi - Seyed Asghar Gholamian
Reverse Rotor Pole Construction in Axial-Field Flux-Switchnig PM Machine with High-Torque and Low-Cogging Torque
Hamid Ebrahimi - Hossein Torkaman - Alireza Sohrabzadeh - Alireza Jaferian-Fini - Hamid Javadi
Advancements in Electric Vehicle Charging Optimization: A Survey of Reinforcement Learning Approaches
Mehrshad Shokati - Parisa Mohammadi - Atoosa Amirinian
Dynamic Grid Search Optimization for ANFIS-Based Wind Turbine Control: Enhancing Efficiency and Adaptability
Ali Najari - Ava Zanir - Maryam Jabari - Mohammad Jabari
Modification of rotor lamination stacking of 425kW induction motor
Arsalan Ajdani - Pouyan Shahabi - Meysam Davoud abadi
Thermal Behavior-Informed Inter-Turn Fault Detection of PMSMs using Explainable AI in an Attention-Based Deep Learning Framework
Amir Hossein Baharvand - Sina Hossein Beigi Fard - Amir Hossein Poursaeed - Behrooz Rezaeealam - Meysam Doostizadeh
A Comprehensive and Comparative Analysis of Multilevel Inverter Topologies: From Early Generations to Smart Innovations Using SiC/GaN and Machine Learning
Abbas Akbarzade Lelekami - Karim Abbaszade - Sadegh Parsa
Effect of Global Vacuum Pressure Impregnation Parameters on Quality of Impregnated Stators
Fatemeh Ramezani - Ali Alaeddini - Mahdi Khademnahvi - Mansour Torabi
Fast Charging Stations and Battery Swap Stations for Electric Vehicles: A Decision-Making Model
Mohammad Mahdi Gholami - Morteza Kheradmandi - Maziar Karimi
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 43.6.0