A Fault Location Method Using Direct Convolution: Electromagnetic Time Reversal or Not Reversal
Guanbo Wang, Chijie Zhuang

TL;DR
This paper introduces a novel electromagnetic time reversal fault location method using direct convolution, eliminating the need for signal reversal and enabling efficient fault detection with pre-stored transients.
Contribution
It proposes a new EMTR fault location approach that simplifies the process by removing signal reversal and utilizes direct convolution with pre-calculated transients.
Findings
Effective fault location with less signal data
Elimination of signal reversal step in EMTR methods
Potential for hardware implementation with pre-stored transients
Abstract
Electromagnetic time reversal (EMTR) is drawing increasing interest in short-circuit fault location. In this letter, we investigate the classic EMTR fault location methods and find that it is not necessary to reverse the obtained signal in time which is a standard operation in these methods before injecting it into the network. The effectiveness of EMTR fault location method results from the specific similarity of the transfer functions in the forward and reverse processes. Therefore, we can inject an arbitrary type and length of source in the reverse process to locate the fault. Based on this observation, we propose a new EMTR fault location method using direct convolution. This method is different from the traditional methods, and it only needs to pre-calculate the assumed fault transients for a given network, which can be stored in embedded hardware. The faults can be located…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
MethodsConvolution
