Stator Inter-turn Fault Diagnosis and Fault Location in Synchronous Generator using Dual Extended Kalman Filter and Linear Regression Analysis
| Autor: | Sarath. R. Menon, C. Santhosh Kumar, P.V. Sunil Nag, Nagapuri Sreevathsava, M Pradeep, Dinesh Kumar G |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Stator
Computer science 020208 electrical & electronic engineering 02 engineering and technology Permanent magnet synchronous generator Fault (power engineering) Fault detection and isolation law.invention Extended Kalman filter Electricity generation law Control theory Power electronics 0202 electrical engineering electronic engineering information engineering Electric power |
| Zdroj: | 2020 5th International Conference on Communication and Electronics Systems (ICCES). |
| DOI: | 10.1109/icces48766.2020.9138025 |
| Popis: | Contemporary society is very much dependent on electric power, and so good fault detection schemes are necessary for the smooth functioning of the grid. Synchronous generators are very essential in power generation from industries to military applications. Stator inter-turn or turn to turn short is the most likely short to occur at the early stage which leads to further complications resulting in damage to the machine. In this paper, we propose a method to detect and find the number of turns shorted in the stator winding using Dual Extended Kalman filter and Linear regression. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|