Article
Engineering, Electrical & Electronic
Christian Mier, Armando Rodrigo Mor, Luis Castro, Peter Vaessen
Summary: This paper proposes a calibration method for PD charge estimation using magnetic and electric antennas, which has been validated with low error rates. The research contributes to improved GIS insulation monitoring and harmonization of PD sensors.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Haotian Wang, Xuanrui Zhang, Xutao Han, Yuan Sun, Huan Chen, Junhao Li
Summary: A novel GIS internal composite sensor for simultaneous detection of overvoltage and PDs is proposed in this paper, and its effectiveness and sensitivity are experimentally verified.
IEEE TRANSACTIONS ON POWER DELIVERY
(2022)
Article
Engineering, Electrical & Electronic
Xianglin Meng, Hui Song, Jiejie Dai, Lingen Luo, Gehao Sheng, Xiuchen Jiang
Summary: This paper presents a method for evaluating the severity of UHF signals of partial discharge in GIS based on semantic analysis. The method comprehensively considers the influence of both structured data and unstructured text data, improving the accuracy of the evaluation results.
IEEE TRANSACTIONS ON POWER DELIVERY
(2022)
Article
Chemistry, Analytical
Bruno Albuquerque de Castro, Vitor Vecina dos Santos, Guilherme Beraldi Lucas, Jorge Alfredo Ardila-Rey, Rudolf Ribeiro Riehl, Andre Luiz Andreoli
Summary: This study focuses on differentiating discharge in epoxy resin and Nomex paper, the insulation materials of dry-type insulated transformers, using acoustic emission and Hall-effect sensors. The results indicate that both sensors are promising in this differentiation.
Article
Engineering, Electrical & Electronic
Shudong Wang, Yigang He, Baiqiang Yin, Shuguang Ning, Wenbo Zeng
Summary: A novel nonlinear transform localization algorithm based on regularization for PD in substations is proposed in this paper. Experimental results show that the proposed algorithm can improve the accuracy of PD localization and keep the localization errors within 2.23 meters.
IEEE TRANSACTIONS ON POWER DELIVERY
(2021)
Article
Engineering, Electrical & Electronic
Sourav Dhara, Chiranjib Koley, Sivaji Chakravorti
Summary: The newly developed PD monitoring system utilizes UHF sensors to monitor partial discharge activities of insulators and insulating media in Air Insulated Substations, with two novel approaches proposed to improve detection specificity and accuracy.
IEEE TRANSACTIONS ON POWER DELIVERY
(2021)
Article
Engineering, Electrical & Electronic
Shigeyoshi Yoshida, Masahiro Kozako, Masayuki Hikita
Summary: This study investigates the effect of white trace on partial discharge inception voltage (PDIV) of the composite insulation system using high-speed optical observation and electrical measurements. It reveals the impact of the white trace on discharge propagation and discusses the mechanism of discharge progression.
IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION
(2021)
Article
Automation & Control Systems
Luis Orellana, Jorge Ardila-Rey, Gonzalo Avaria, Sergio Davis
Summary: Pollution over insulators surfaces in outdoor environments can cause damage to power systems in the long run. This study applies a deep learning algorithm to analyze the time series of partial discharges measured with an antenna under increasing pollution conditions until flashover. The results show that partial discharges can be used as early detection of flashover, and setting a time threshold at 70% of the total experiment time gives the best results, with a noticeable transition from low to high danger signals before flashover.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Engineering, Electrical & Electronic
Christian Mier Escurra, Armando Rodrigo Mor, Peter Vaessen
Summary: This study made significant contributions by improving the bandwidth of the magnetic loop antenna and proposing an electric circuit model that fully covers the TEM frequency range in GIS. The research results lay the foundation for further research on time resolution and signal postprocessing techniques for magnetic loop antennas in GIS.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Jinwen Tian, Guozhi Zhang, Chuan Ming, Luyao He, Yang Liu, Jianben Liu, Xiaoxing Zhang
Summary: This letter presents the design of a new flexible Hilbert antenna for built-in detection of partial discharges (PD) in gas-insulated switchgear (GIS). The fractal antenna is designed on flexible polydimethylsiloxane (PDMS) material and demonstrates high PD detection sensitivity. It has a broad bandwidth and little effect on antenna bandwidth even with bending deformation.
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS
(2023)
Article
Engineering, Electrical & Electronic
George V. R. Xavier, Rodrigo de A. Coelho, Hugerles S. Silva, Alexandre J. R. Serres, Edson G. da Costa, Arnaldo S. R. Oliveira
Summary: The study introduces a method for measuring PD signals in high-voltage equipment insulation systems using bio-inspired printed monopole antennas, applying SDWT for signal filtering, and improving the efficiency of PD detection.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Yugandhara Rao Yadam, Sarathi Ramanujam, Kavitha Arunachalam
Summary: The polarization sensitivity of an ultrahigh-frequency (UHF) sensor for detecting partial discharge (PD) activity in gas insulated switchgear (GIS) was studied using a tapered planar spiral (TPS) antenna. The TPS antenna was optimized for circular polarization (CP) over the frequency range of 0.5-3.5 GHz. Compared to a linearly polarized (LP) UHF antenna, the TPS antenna showed stronger polarization sensitivity for detecting PDs in the GIS.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Diaa-Eldin A. Mansour, Ibrahim B. M. Taha, Rizwan A. Farade, Noor Izzri Bin Abdul Wahab
Summary: Partial discharge (PD) diagnostics in Gas Insulated Switchgear (GIS) is crucial for the reliable and secure operation of electrical utilities. This paper proposes a PD diagnosis method based on PD pulse sequence and optimized machine learning classification techniques, achieving high accuracy.
ELECTRIC POWER SYSTEMS RESEARCH
(2022)
Article
Computer Science, Information Systems
Vo-Nguyen Tuyet-Doan, Ha-Anh Pho, Byeongho Lee, Yong-Hwa Kim
Summary: This paper investigates the classification of unknown PD faults using deep neural networks and proposes a deep ensemble model, which is verified through experiments for its performance.
Article
Energy & Fuels
Ahmed Rashwan, Alistair Reid
Summary: In this study, a time-difference-of-arrival-based partial discharge (PD) location system is proposed, which utilizes prior knowledge of substation layout. A new time delay estimator is proposed that employs onset detection techniques and shown, through experimental results, to be at least 2.8 times more accurate than other conventional estimators. By using knowledge of a substation's layout, a minimum mean-square-error (MMSE)-based location estimator and an algorithm that optimizes antenna placement are developed to maximize location accuracy in regions occupied by high-voltage equipment. Simulation results demonstrate that the system using the proposed techniques is 5.9 times more accurate than a conventional system in a high-noise environment.
Article
Automation & Control Systems
Jose Ignacio Aizpurua, Stephen D. J. McArthur, Brian G. Stewart, Brandon Lambert, James G. Cross, Victoria M. Catterson
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2019)
Article
Nuclear Science & Technology
Christopher Wallace, Curtis McEwan, Graeme West, William Aylward, Stephen McArthur
NUCLEAR TECHNOLOGY
(2020)
Article
Engineering, Electrical & Electronic
Bruce Stephen, Xu Jiang, Stephen D. J. McArthur
IEEE TRANSACTIONS ON POWER DELIVERY
(2020)
Article
Automation & Control Systems
Jose Ignacio Aizpurua, Victoria M. Catterson, Brian G. Stewart, Stephen D. J. McArthur, Brandon Lambert, James G. Cross
Summary: This paper presents an uncertainty-aware fusion method to combine BB and WB diagnostics methods in order to improve the accuracy of transformer fault diagnosis.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Energy & Fuels
Eleni Tsioumpri, Bruce Stephen, Stephen D. J. McArthur
Summary: Aging equipment, extreme weather conditions, and unforeseen operational factors are challenging power distribution networks. The combination of high loading and weather conditions results in recurring faults in legacy plants, impacting service quality. The study demonstrates the ability to predict weather-related faults at substations using local weather data, temporal alignment of operational data with meteorological observations, and historical fault records to identify recurring fault causes.
Article
Automation & Control Systems
Xu Jiang, Bruce Stephen, Stephen McArthur
Summary: An online model has been developed that automatically segments anomalies in power distribution networks, addressing the effects of operational noise and embedded generation noise. Experimental results demonstrate the effectiveness of the technique in accommodating noise levels from power electronic devices in typical networks.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Engineering, Electrical & Electronic
Xu Jiang, Bruce Stephen, Stephen McArthure
Summary: The paper proposes a method to infer fault cause from minimal amounts of historical fault data by applying a novel structural similarity metric to substation current data, and demonstrates an improvement in classification accuracy over comparable techniques on an industrially relevant benchmark data set.
IEEE TRANSACTIONS ON POWER DELIVERY
(2021)
Article
Engineering, Electrical & Electronic
Jose Ignacio Aizpurua, Brian G. Stewart, Stephen D. J. McArthur, Nitin Jajware, Martin Kearns, Unai Garro, Enaut Muxika, Mikel Mendicute
Summary: This paper presents a novel cable lifetime estimation framework that connects data-driven probabilistic uncertainty models with PoF-based operation and degradation models. The framework estimates the cable health state and infers confidence intervals to aid decision-making under uncertainty. Results demonstrate that ambient temperature measurement errors influence more than load measurement errors, and the greater the cable conductor temperature the greater the influence of uncertainties on the lifetime estimate.
IEEE TRANSACTIONS ON POWER DELIVERY
(2021)
Article
Engineering, Electrical & Electronic
Badr Al Faiya, Dimitrios Athanasiadis, Minjiang Chen, Stephen McArthur, Ivana Kockar, Haowei Lu, Francisco de Leon
Summary: This paper introduces a distributed voltage regulation method for large distribution networks based on multi-agent system control and network self-organization. The approach simplifies optimization problems and enhances adaptability through subnetwork autonomous regulation, and its effectiveness is confirmed through simulations on a real model.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Engineering, Industrial
J. Aizpurua, B. G. Stewart, S. D. J. McArthur, M. Penalba, M. Barrenetxea, E. Muxika, J. Ringwood
Summary: This paper presents a probabilistic prognostics method for lifetime planning under uncertainty, integrating data-driven probabilistic forecasting models with expert-knowledge based Bayesian filtering methods. The results confirm that the proposed probabilistic transformer lifetime estimate aids in the decision-making process with informative lifetime distributions and associated confidence intervals.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Automation & Control Systems
Pablo R. Baldivieso Monasterios, Nandor Verba, Euan A. Morris, Thomas Morstyn, George C. Konstantopoulos, Elena Gaura, Stephen McArthur
Summary: The continuous integration of renewable energy sources into power networks is transforming the way energy is generated, distributed, traded, and controlled. The intermittent nature of renewable sources affects energy pricing and poses a threat to system stability and performance. This article proposes a holistic approach to energy trading that includes a distributed predictive control framework and a negotiation framework, and examines the impact of forecasting on network performance and market behaviors.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Andrew Young, Graeme West, Blair Brown, Bruce Stephen, Andrew Duncan, Craig Michie, Stephen D. J. McArthur
Summary: In critical infrastructure applications, fault detection and diagnosis play a crucial role in ensuring safety. Traditional knowledge-based approaches are accurate but time-consuming and lack explainability. This study proposes a novel knowledge elicitation method that parameterizes typical time-series data and represents them using symbolic primitives for explanation. The method enables rapid and accurate acquisition and implementation of domain expert knowledge and iterative improvement based on new data. Results on a simulated dataset show that the approach achieves good performance in fault detection and provides comprehensive explanations for each detected fault.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Bruce Stephen, Blair Brown, Andrew Young, Andrew Duncan, Henrique Helfer-Hoeltgebaum, Graeme West, Craig Michie, Stephen D. J. McArthur
Summary: This paper focuses on the operating parameters of centrifugal pumps and predicts component wear under specific settings using an empirical bivariate partitioned distribution. This technique can assist operators in choosing the optimal plant configuration in advance.
Proceedings Paper
Computer Science, Artificial Intelligence
Andrew Young, Graeme West, Blair Brown, Bruce Stephen, Craig Michie, Stephen McArthur
Summary: This paper presents an approach to reduce the time required for the knowledge elicitation process in the development of industrial fault diagnostic systems. It introduces a symbolic representation of the engineer's knowledge to create a common language that can be easily communicated with domain experts. The approach is applied to a case study on rotating plant fault diagnosis and shows promising results in accurately detecting various types of faults in boiler feed pumps.
INTERNATIONAL CONGRESS AND WORKSHOP ON INDUSTRIAL AI 2021
(2022)
Article
Computer Science, Information Systems
Amy Anderson, Bruce Stephen, Rory Telford, Stephen Mcarthur