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Model-based fault-tolerant control (FTC) often consists of two distinct steps: fault detection & isolation (FDI), and fault accommodation. In this work we investigate posing fault-tolerant control as a single Bayesian inference problem.…

Systems and Control · Electrical Eng. & Systems 2022-04-19 Mohamed Baioumy , William Hartemink , Riccardo M. G. Ferrari , Nick Hawes

Reliable mechanical fault detection with limited data is crucial for the effective operation of induction machines, particularly given the real-world challenges present in industrial datasets, such as significant imbalances between healthy…

Systems and Control · Electrical Eng. & Systems 2025-04-04 Ali Pourghoraba , MohammadSadegh KhajueeZadeh , Ali Amini , Abolfazl Vahedi , Gholam Reza Agah , Akbar Rahideh

Fractures are ubiquitous in the subsurface. The flow and mechanical properties of these fractures are controlled by its compliance or stiffness. Characterizing fracture compliance and conductivity is crucial in applications such as fault…

Geophysics · Physics 2019-05-13 HanYi Wang , Mukul M. Sharma

Massive MIMO systems have the potential to significantly enhance spectral efficiency, yet their widespread integration is hindered by the high power consumption of the underlying computations. This paper explores the applicability and…

Signal Processing · Electrical Eng. & Systems 2025-09-09 Mikael Rinkinen , Mehdi Safarpour , Shahriar Shahabuddin , Olli Silven , Lauri Koskinen

The intelligent fault diagnosis of rotating mechanical equipment usually requires a large amount of labeled sample data. However, in practical industrial applications, acquiring enough data is both challenging and expensive in terms of time…

Machine Learning · Computer Science 2025-09-12 Hanyang Wang , Yuxuan Yang , Hongjun Wang , Lihui Wang

Quantum error correcting codes (QECC) are the key ingredients both for fault-tolerant quantum computation and quantum communication. Teleportation-based error correction (TEC) helps in detecting and correcting operational and erasure errors…

Quantum Physics · Physics 2019-02-06 K. M. Anandu , Muhammad Shaharukh , Bikash K. Behera , Prasanta K. Panigrahi

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 propose a novel…

The widespread use of sensors in modern power grids has led to the accumulation of large amounts of voltage and current waveform data, especially during fault events. However, the lack of labeled datasets poses a significant challenge for…

Machine Learning · Computer Science 2025-05-26 Julian Oelhaf , Georg Kordowich , Andreas Maier , Johann Jager , Siming Bayer

With more devices competing for limited spectrum, dynamic spectrum sharing is increasingly vulnerable to interference from unauthorized emitters. This motivates fast detection and localization of these emitters using low-cost, distributed…

Signal Processing · Electrical Eng. & Systems 2025-12-02 H. Nazim Bicer

Recent progress in fault detection and identification increasingly relies on sophisticated techniques for fault detection, applied through either centralized or distributed approaches. Instead of increasing the sophistication of the fault…

Systems and Control · Electrical Eng. & Systems 2025-07-29 Enrique Luna Villagomez , Vladimir Mahalec

Quantum error correction (QEC) is essential for achieving fault-tolerant quantum computing. While superconducting qubits are among the most promising candidates for scalable QEC, their limited nearest-neighbor connectivity presents…

A method for determining the current signature faults using Fractional Fourier Transform (FrFT) has been developed. The method has been applied to the real-time steady-state current of the inverter-fed high power induction motor for fault…

Signal Processing · Electrical Eng. & Systems 2025-10-20 Usman Ali

The accurate electromagnetic modeling of both low- and high-frequency physics is crucial in the signal and power integrity analysis of electrical interconnects. The boundary element method (BEM) is appealing for lossy conductor modeling…

Computational Engineering, Finance, and Science · Computer Science 2022-08-31 Shashwat Sharma , Piero Triverio

Accurate knowledge of transmission line (TL) impedance parameters helps to improve accuracy in relay settings and power flow modeling. To improve TL parameter estimates, various algorithms have been proposed in the past to identify TL…

Systems and Control · Computer Science 2017-06-20 Di Shi , Daniel J. Tylavsky , Kristian M. Koellner , Naim Logic , David E. Wheeler

Recent work has deployed linear combinations of unitaries techniques to reduce the cost of fault-tolerant quantum simulations of correlated electron models. Here, we show that one can sometimes improve upon those results with optimized…

Electricity theft detection issue has drawn lots of attention during last decades. Timely identification of the electricity theft in the power system is crucial for the safety and availability of the system. Although sustainable efforts…

Computer Vision and Pattern Recognition · Computer Science 2018-05-25 Bo Li , Kele Xu , Xiaoyan Cui , Yiheng Wang , Xinbo Ai , Yanbo Wang

Large-scale integration of converter-based renewable energy sources (RESs) into the power system will lead to a higher risk of frequency nadir limit violation and even frequency instability after the large power disturbance. Therefore, it…

Systems and Control · Electrical Eng. & Systems 2021-10-27 Likai Liu , Zechun Hu , Nikhil Pathak , Haocheng Luo

A three-phase pulse-width modulation (PWM) rectifier can usually maintain operation when open-circuit faults occur in insulated-gate bipolar transistors (IGBTs), which will lead the system to be unstable and unsafe. Aiming at this problem,…

Signal Processing · Electrical Eng. & Systems 2022-11-07 Lei Kou , Chuang Liu , Guo-wei Cai , Jia-ning Zhou , Quan-de Yuan

This paper proposes a robust method for fault detection and severity estimation in multivariate time-series data to enhance predictive maintenance of mechanical systems. We use the Temporal Graph Convolutional Network (T-GCN) model to…

Systems and Control · Electrical Eng. & Systems 2025-04-07 Youngjae Jeon , Eunho Heo , Jinmo Lee , Taewon Uhm , Dongjin Lee

High penetration of renewable energy sources intensifies frequency fluctuations in multi-area power systems, challenging both stability and operational safety. This paper proposes a novel distributed frequency control method that ensures…

Systems and Control · Electrical Eng. & Systems 2025-09-10 Xiemin Mo , Tao Liu