| Autor: |
Yawei Shi, Aiming Zhao, Chao Yu, Ronghui Hu, Xing Zhang |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
2020 2nd International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI). |
| DOI: |
10.1109/mlbdbi51377.2020.00117 |
| Popis: |
Online monitoring of the dielectric loss of capacitive equipment is an effective method to judge its insulation status. Because the higher harmonics and noise signals in the power grid will bring errors to the measurement of dielectric loss, in order to improve the accuracy of the measurement, this paper designs a FIR digital filter based on LabVIEW to remove the harmonic and noise signals, in order to ensure the measurement For speed and accuracy, an algorithm program of sine wave parameter method (including least square method and trigonometric function integration method) based on LabVIEW is designed, and the dielectric loss angle is obtained. The two algorithms are simulated under different signal-to-noise ratios and multiple complete cycles. The simulation results show the feasibility and effectiveness of the two methods. The two algorithms are simulated under a non-integer period. The simulation results show that the trigonometric function integration rule must be calculated under the complete period, and the least square method does not have this requirement. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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