Development of a Detection Device for Partial Discharge Signals
| Autor: | Yu-Jhen Cheng, 程于真 |
|---|---|
| Rok vydání: | 2016 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 104 When the electrical equipment is in long-term operation, the insulating material characteristics deteriorate gradually under the effect of different external factors. When the electric field intensity in the deterioration position is higher than the allowable insulating strength of the insulating material, the Partial Discharge (PD) phenomenon is generated. The PD may deteriorate insulation causing damage, but the deterioration development takes a while. The development time is related to the equipment operating condition, PD position and insulation structure of equipment. If the PD signal can be measured by using PD detection device, and the equipment insulation state is analyzed, the unwarned equipment breakdown may be prevented, the fault occurrence is reduced. This study aims to develop a PD signal detection device, integrated with high speed analog-digital converter, rapid capture transfer and Field Programmable Gate Array (FPGA) storage transfer modules. The master station issues instructions to various modules, so as to store, receive, calculate and judge data. The high speed analog-to-digital conversion module converts the captured analog signal into digital signal. The rapid capture transfer module transfers the captured data via USB to the master station rapidly. The FPGA storage transfer module stores the rapidly captured signals temporarily and sends them to the master station. If the captured signal is identified as PD signal, the maximum value of PD voltage, mean discharge and numbers of discharge are calculated. In order to validate the feasibility of the proposed PD detection device, different cases are designed in this study, and compared with Teledyne LeCroyWaveRunner 610Zi oscillograph and NI industrial computer. The results show that this device can detect as high as 50MHz PD signal effectively. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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