지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2011.10
- 수록면
- 1,915 - 1,918 (4page)
이용수
초록· 키워드
오류제보하기
In this paper, we introduce a reflectometry which is used as localizing faults in an underground power cable. To increase the resolution and SNR, time-frequency domain reflectometry (TFDR) adopts the Gaussian enveloped linear chirp signal and Wigner-Ville distribution (WVD) based time-frequency cross-correlation (TFCC) method. However, the nonlinearity of WVD and the computational burden of 2D cross-correlation hinder the TFDR from being a field testing implementation. In order to reduce the nonlinearity and computational burden, we derive the second order timevarying AR model of Gaussian enveloped linear chirp signal and estimate the instantaneous frequency (IF) by using the weighted robust least squares (WRLS) estimator. Based on the estimated IF, the fault distance can be calculated. Computer simulations are conducted to verify the proposed method. The simulation result shows that the proposed method reduces the computational burden of time-frequency cross-correlation and the nonlinearity of WVD.
목차
Abstract
1. INTRODUCTION
2. FAULT LOCALIZATION METHOD
3. SIMULATION RESULTS
4. CONCLUSION
5. ACKNOWLEDGEMENT
REFERENCES
참고문헌 (0)
참고문헌 신청이 논문의 저자 정보
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2014-569-000916000