earticle

논문검색

Research and Realization of Transient Disturbance Detection Algorithm Based Coiflet Wavelets and FPGA

초록

영어

This paper proposes a Coiflet wavelet algorithm based on FPGA to realize the real-time detection of power quality transient disturbance. As to the real-time problem of wavelet algorithm software applications, the algorithm is realized on the FPGA. When Coiflet wavelet is taken as basic functions, the effect of the detecting signal singularity is good. Because of its symmetry in the time-frequency domain the algorithm could avoid the signal distortion during decomposition and reconstruction, which is convenient for subsequent signal processing. By simulating test of several kinds of signal source, the begin-end time of signal transient disturbance is contrasted. The test results show that the method is more accurate and feasible on real-time detection of power quality transient disturbance.

목차

Abstract
 1. Introduction
 2. MALLAT Algorithm
 3. Selection of Wavelet
 4. Hardware Implementation of Wavelet Algorithm
 5. Experiment and Analysis
  5.1 Matlab / Simulink Simulation
  5.2 Modelsim Simulation Results in RTL Level
 6. Conclusion
 Acknowledgement
 References

저자정보

  • Lanying Li The College of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China
  • Kelong Shi The College of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.