paper-with-me

Papers

Fault Localisation in Infinite-Dimensional Linear Electrical Networks

2025-04-07 · Daniel Selvaratnam, Alessio Moreschini, Amritam Das, Thomas Parisini, Henrik Sandberg

We present a novel fault localisation methodology for linear time-invariant electrical networks with infinite-dimensional edge dynamics and uncertain fault dynamics. The theory accommodates instability and also bounded propagation delays in the network. The goal is to estimate the location of a fault along a given network edge, using sensors positioned arbitrarily throughout the network. Passive faults of unknown impedance are considered, along with stable faults of known impedance. To illustrate the approach, we tackle a significant use-case: a multi-conductor transmission line, with dynamics modelled by the Telegrapher's equation, subject to a line-to-ground fault. Frequency-domain insights are used to reformulate the general fault localisation problem into a non-convex scalar optimisation problem, of which the true fault location is guaranteed to be a global minimiser. Numerical experiments are run to quantify localisation performance over a range of fault resistances.

📄 PDF Abstract BibTeX arXiv:2504.04910

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Electrical Fault Localisation Over a Distributed Parameter Transmission Line

2023-10-20 · Daniel Selvaratnam, Amritam Das, Henrik Sandberg

Motivated by the need to localise faults along electrical power lines, this paper adopts a frequency-domain approach to parameter estimation for an infinite-dimensional linear dynamical system with one spatial variable. …

parameter estimation

Efficient Fault Detection and Categorization in Electrical Distribution Systems Using Hessian Locally Linear Embedding on Measurement Data

2024-03-09 · Victor Sam Moses Babu K., Sidharthenee Nayak, Divyanshi Dwivedi, Pratyush Chakraborty 외

Faults on electrical power lines could severely compromise both the reliability and safety of power systems, leading to unstable power delivery and increased outage risks. They pose significant safety hazards, necessitat…

ClusteringFault Detection

Fault Classification in Electrical Distribution Systems using Grassmann Manifold

2024-03-09 · Victor Sam Moses Babu K., Sidharthenee Nayak, Divyanshi Dwivedi, Pratyush Chakraborty 외

Electrical fault classification is vital for ensuring the reliability and safety of power systems. Accurate and efficient fault classification methods are essential for timely and effective maintenance. In this paper, we…

Classification

Localisation of Regularised and Multiview Support Vector Machine Learning

2023-04-12 · Aurelian Gheondea, Cankat Tilki

We prove a few representer theorems for a localised version of the regularised and multiview support vector machine learning problem introduced by H.Q. Minh, L. Bazzani, and V. Murino, Journal of Machine Learning Researc…

Fault Detection in Electrical Distribution System using Autoencoders

2026-02-16 · Sidharthenee Nayak, Victor Sam Moses Babu, Chandrashekhar Narayan Bhende, Pratyush Chakraborty 외 arxiv

In recent times, there has been considerable interest in fault detection within electrical power systems, garnering attention from both academic researchers and industry professionals. Despite the development of numerous…

Dimensionality Reduction