Nana Chang | Power System Protection | Best Researcher Award

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Dr. Nana Chang | Power System Protection | Best Researcher Award

Lecturer, School of Electrical Engineering, Xi’an University of Technology, China

Dr. Nana Chang is a distinguished researcher in electrical engineering, specializing in power system protection and renewable energy integration. She earned her Ph.D. in Electrical Engineering from Xi’an Jiaotong University in 2024, following a Master’s degree from North China Electric Power University and a Bachelor’s from Xi’an University of Technology. Currently serving as a Lecturer at Xi’an University of Technology, Dr. Chang bridges academia and industry through her involvement in several high-impact research projects. Her work addresses critical challenges in modern power systems, including fault protection in multi-voltage DC grids and resilience under extreme conditions. Dr. Chang has contributed to multiple national-level projects funded by the Ministry of Science and Technology and the National Natural Science Foundation of China. She also leads industry-sponsored research, focusing on innovative protection principles for renewable energy-dominated grids.

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Education

Dr. Nana Chang’s academic journey reflects a strong foundation in electrical engineering. She completed her Bachelor of Science in Electrical Engineering and Automation at Xi’an University of Technology in June 2012. Pursuing advanced studies, she obtained a Master of Science in Power System and Automation from North China Electric Power University (Beijing) in April 2015. Her academic pursuit culminated in a Doctor of Philosophy in Electrical Engineering from Xi’an Jiaotong University in September 2024. Her doctoral research focused on innovative protection methods for multi-voltage-level, multi-zone interconnected new energy DC distribution systems, addressing the evolving challenges in modern power systems. This progression showcases her commitment to advancing the field of electrical engineering through rigorous academic training and research.

Experience

Dr. Nana Chang’s professional experience spans both academia and industry, highlighting her expertise in electrical engineering. Since September 2024, she has been serving as a Lecturer at Xi’an University of Technology, where she contributes to the academic development of students and engages in cutting-edge research. Prior to her academic role, Dr. Chang worked at State Grid Xianyang Power Supply Company from August 2015 to June 2019, focusing on the secondary equipment maintenance of substations. This experience provided her with practical insights into power system operations and maintenance, enriching her research perspective. Her dual exposure to theoretical and practical aspects of electrical engineering enables her to bridge the gap between academic concepts and real-world applications effectively.

Research Focus 

Dr. Nana Chang’s research is centered on the protection and resilience of modern power systems, particularly in the context of renewable energy integration. Her doctoral research addressed fault characteristics and protection methods for multi-voltage-level, multi-zone interconnected new energy DC distribution systems, a critical area as the energy sector transitions toward decentralized and renewable sources. She is actively involved in projects funded by the Ministry of Science and Technology and the National Natural Science Foundation of China, focusing on protection strategies for flexible low-frequency transmission systems and resilience technologies for urban energy systems under extreme conditions. Additionally, Dr. Chang leads industry-sponsored research on innovative protection principles for renewable energy-dominated grids. Her work aims to enhance the reliability and stability of power systems amidst the challenges posed by renewable energy sources.

Publication Top Notes

📘1. Phase Current Based Fault Section Location for Single-Phase Grounding Fault in Non-Effectively Grounded Distribution Network

  • Journal: IEEE Transactions on Industry Applications

  • Year: 2025

  • Authors: Zhongxue Chang, Qingyu He, Nana Chang, Weibin Tan, Wei Zhang, Zhihua Zhang, Guobing Song

  • Summary:
    This paper proposes a novel phase current-based method to locate fault sections caused by single-phase grounding in non-effectively grounded distribution networks. The approach enhances fault localization accuracy in complex systems where conventional methods fall short. The solution reduces misjudgment rates and increases system reliability in medium-voltage power networks, especially relevant to regions with high renewable penetration.

📘 2. Adaptive Fault Identification for Multi-Level Relays Using Fault Tree and User-Defined Inverse-Time Characteristics Equation

  • Journal: Electric Power Systems Research

  • Year: September 2025

  • Authors: Nana Chang, Guobing Song, Jiaheng Jiang

  • Summary:
    This study introduces an adaptive method for fault identification in multi-level relay systems. By combining a fault tree analysis framework with user-defined inverse-time characteristics, the method provides more precise fault detection under variable grid configurations. The adaptive behavior supports more intelligent and flexible relay coordination, particularly important for evolving smart grid environments.

📘 3. An Adaptive Coordinated Wide-Area Backup Protection Algorithm for Network Topology Variability

  • Journal: IEEE Transactions on Power Delivery

  • Year: April 2024

  • Authors: Nana Chang, Guobing Song

  • Summary:
    This paper presents a wide-area backup protection algorithm that adapts to real-time changes in power system topology. The method dynamically adjusts coordination parameters based on topology recognition, improving fault response and ensuring system stability in large-scale and reconfigurable grids. It offers significant improvements in response speed and adaptability for modern interconnected systems.

📘 4. Fault Identification Method Based on Unified Inverse-Time Characteristic Equation for Distribution Network

  • Journal: International Journal of Electrical Power & Energy Systems

  • Year: March 2023

  • Authors: Nana Chang, Guobing Song, Junjie Hou, Zhongxue Chang

  • Summary:
    This article introduces a unified fault identification method for distribution networks using a standardized inverse-time characteristic equation. The technique enhances the coordination of protection devices across diverse protection zones. It is particularly suited for high-penetration renewable energy systems, where conventional settings may not provide reliable fault discrimination due to dynamic operating conditions.

Conclusion

Dr. Nana Chang demonstrates strong technical competence, relevance in research areas, and a well-rounded background in academic and industrial projects. Her work directly contributes to critical advancements in power system protection and renewable energy integration, areas vital to modern energy infrastructure.

Milkias Berhanu Tuka | Electrical Engineering | Best Researcher Award

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Assoc. Prof. Dr. Milkias Berhanu Tuka | Electrical Engineering | Best Researcher Award

Dr, Addis Ababa Science and Technology University, Ethiopia

Milkias Berhanu Tuka (Ph.D.) is an Associate Professor at Addis Ababa Science and Technology University (AASTU) in Ethiopia. With extensive academic and professional experience, he specializes in Electrical and Computer Engineering. Dr. Tuka holds a Ph.D. in Electrical Engineering, with a focus on renewable energy and power systems. He has served in various leadership roles, including as a Special Assistant to the Vice President for Academic Affairs and Associate Head of the Electrical and Computer Engineering Department. Dr. Tuka is a recognized leader in both academia and industry, collaborating internationally with institutions like Otto-von-Guericke University (Germany). His work emphasizes sustainable energy solutions and electrical engineering innovations. 🌍⚡

Profile

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Strengths for the Award

  1. Extensive Academic and Research Background: Dr. Milkias Berhanu Tuka demonstrates an impressive academic career with significant contributions in the fields of Electrical Engineering, particularly in power systems, renewable energy, and power electronics. His expertise in renewable energies, electrical machines, power electronics, and drives has led to substantial academic achievements, including publishing numerous papers in Scientific Reports and other reputable journals.
  2. International Collaboration and Recognition: His involvement in international projects and partnerships, such as his research with Otto-von-Guericke University in Germany, highlights his capacity for cross-border collaboration. This is evident from his contributions to research and consultancy in projects like the SASCS for DTH under the Europe-Africa Research and Innovation call on Renewable Energy.
  3. Leadership and Influence in Academia: Dr. Tuka has shown notable leadership within academic institutions. His roles as an Associate Professor, Head of the Electrical and Computer Engineering Department, and his position as the Vice President’s Special Assistant for Academic Affairs at Addis Ababa Science and Technology University (AASTU) showcase his organizational and managerial abilities. These positions highlight his responsibility in steering academic programs, overseeing curriculum developments, and ensuring high standards in teaching and research.
  4. Active Contribution to Research Grants and Projects: He has been actively involved in securing and managing multiple research projects and external grants, such as Solar Power System Design, Wind Energy Forecasting, and Consultancy services for the Ethiopian Water Technology Institute. These projects demonstrate his practical application of research and his capacity to drive forward both theoretical and applied research.
  5. Supervision and Mentorship: Dr. Tuka has contributed to the academic development of numerous students, particularly in the supervision of MSc theses and PhD students, helping them to navigate complex research topics and bringing innovative ideas to the forefront.
  6. Diverse Skills and Certifications: His wide array of skills and certifications, such as the completion of Nanodegree Programs in Data Analysis and Programming Fundamentals, along with his recognition from prestigious institutions (e.g., Mandela Washington Fellowship and Honorary Lifetime Membership to International Davis), shows his commitment to lifelong learning and professional growth.

Areas for Improvement

  1. Broader Publication and Citations Reach: While Dr. Tuka has made significant contributions to journals like Scientific Reports, expanding his impact through more high-visibility, high-impact journals, and achieving higher citation counts could further solidify his position as a global thought leader in his field.
  2. Focus on Multidisciplinary Collaboration: Although his work has had a strong focus on electrical engineering and renewable energy, expanding collaborations across multidisciplinary fields (e.g., integrating AI or machine learning into energy systems) could further diversify his research impact and open up new avenues for groundbreaking studies.
  3. Increased Public Engagement: Engaging in more public-facing activities, such as offering talks at global conferences, media interviews, or even online platforms to discuss renewable energy issues or innovations in power systems, could increase his outreach and influence in shaping global energy policy or practices.
  4. Diversifying Research Funding: While Dr. Tuka has excelled in obtaining research grants, diversifying the sources of funding, particularly from international organizations or the private sector, could support even larger-scale projects and increase the impact of his research.

Education

Dr. Tuka obtained his Ph.D. in Electrical Engineering from Adama Science & Technology University and Otto-von-Guericke University, focusing on power quality in wind energy systems. He holds an MSc in Electrical Engineering with a focus on power systems from Adama Science & Technology University. Additionally, he earned a Bachelor’s degree in Electrical-Electronics Technology. Dr. Tuka’s education combines rigorous theoretical learning with hands-on research, particularly in renewable energy solutions and electrical systems optimization. 🎓🔋

Experience

Dr. Tuka has over 15 years of experience in academia and engineering. He is currently an Associate Professor and Special Assistant at AASTU, where he also serves as the Secretary of the Academic Staff Affairs Committee. Previously, he was an Associate Head of the ECE Department at Adama Science and Technology University (ASTU) and a power expert for the ASTU-Mekele University Joint Venture on the Adama-II Wind Power Project. Dr. Tuka has also held leadership roles in various educational projects and is a consultant for renewable energy and power systems. ⚙️🌞

Awards and Honors

Dr. Tuka has received numerous accolades throughout his career, including an Honorary Lifetime Membership from International Davis, U.S., and recognition for his professional contributions to the Department of Electrical and Computer Engineering at ASTU. He is also an awardee of the Mandela Washington Fellowship and has participated in prestigious training programs like the Enel Foundation’s Micro-grid Academy and Open Africa Power. 🏅🌍

Research Focus

Dr. Tuka’s research centers on renewable energy, power systems, electrical machines, and power electronics. His work focuses on optimizing renewable energy integration into the power grid, improving power quality, and designing sustainable energy solutions. Current projects include wind energy forecasting using deep learning, solar power systems, and smart grid technologies. His research aims to provide innovative solutions for energy challenges in Africa and beyond, contributing to the global energy transition. 🌿🔌

Publication Top Notes

  1. A comparative ensemble approach to bedload prediction using metaheuristic machine learning 🌍📊
  2. Design and performance evaluation of a multi-load and multi-source DC-DC converter for electric vehicle systems ⚡🚗
  3. Cable dimension determination using Finite Element Method for gas insulated cables ⚡🔧
  4. Hybrid modeling approach for precise energy estimation based on temperature variations 🌞📐
  5. Maiden application of optimization for load frequency control in microgrids with renewables ⚡🔋
  6. Design of a universal converter for microgrid applications using dynamic programming 🌍🔄
  7. Lyapunov-based neural network model predictive control for energy systems ⚙️🌐
  8. High-efficiency poly-input boost converter for energy storage and EV applications 🔋🚙
  9. Robust load-frequency control for islanded microgrids using 1PD-PID controllers ⚡🔧
  10. Techno-economic analysis of hybrid renewable energy solutions in Cameroon ⚡🌍

Conclusion

Dr. Milkias Berhanu Tuka is undoubtedly a strong candidate for the Best Researcher Award. His academic credentials, research expertise, and leadership in both academia and various research projects highlight his significant contributions to the field of Electrical Engineering. His publications, international collaborations, and impact on both education and research underscore his excellence. With his dedication to innovation and research excellence, Dr. Tuka’s future contributions will likely continue to have a profound impact on the academic community, particularly in renewable energy and power systems, making him a highly deserving candidate for this award. To further enhance his global influence, focusing on broader publication reach, fostering interdisciplinary research, and engaging more publicly would help him elevate his already impressive career.

 

 

Saibo She | Electrical Engineering | Best Researcher Award

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Dr Saibo She | Electrical Engineering | Best Researcher Award 

Ph.D Student, University of Manchester, United Kingdom

Saibo She is a dedicated researcher specializing in electromagnetic non-destructive testing and sensor design. Currently pursuing a PhD at the University of Manchester, UK, he previously earned his bachelor’s degree from Hunan University, China. With a strong foundation in electrical engineering, Saibo has actively contributed to various innovative research projects, focusing on defect detection and material evaluation. He is passionate about applying artificial intelligence to enhance diagnostic methodologies. Beyond academia, Saibo has demonstrated leadership in multiple competitions, reflecting his commitment to innovation and collaboration. His work has led to numerous publications and patents, marking him as a rising star in his field.

Profile

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Strengths for the Award

  1. Extensive Research Experience: Saibo has been involved in numerous significant research programs, focusing on advanced topics in non-destructive testing and electromagnetic evaluation. His work is supported by prestigious funding, such as the National Natural Science Foundation of China.
  2. Innovative Contributions: He has made substantial contributions to the field, as evidenced by multiple patents and published papers in reputable journals like the IEEE Sensors Journal and IEEE Transactions on Instrumentation and Measurement. His research on eddy current sensors demonstrates a blend of innovation and practical application.
  3. Strong Publication Record: Saibo has co-authored several papers with impactful findings, showcasing his ability to engage in high-quality research and contribute to scientific knowledge. His work on defect detection and materials evaluation reflects a commitment to advancing the field.
  4. Awards and Scholarships: His accolades, including the IEEE Instrumentation and Measurement Graduate Fellowship Award and various scholarships, highlight his academic excellence and recognition by peers and institutions.
  5. Leadership Experience: His role as a group leader in several competitions suggests strong leadership and teamwork skills, which are crucial for collaborative research environments.

Areas for Improvement

  1. Broader Impact: While his research is innovative, exploring avenues to increase the practical impact of his work in industrial applications could enhance his profile. Engaging with industry partners for real-world testing and implementation could broaden his research’s reach.
  2. Interdisciplinary Collaboration: Saibo could benefit from engaging with researchers from different fields to foster interdisciplinary collaboration, which can lead to new perspectives and innovative solutions to complex problems.
  3. Communication Skills: While his publication record is strong, focusing on enhancing presentation and outreach skills could help him communicate his research findings more effectively to diverse audiences, including policymakers and industry stakeholders.

Education

Saibo She is currently pursuing a PhD at the University of Manchester, UK, from September 2022 to June 2026. He previously obtained his bachelor’s degree from Hunan University, China, where he studied from September 2019 to June 2022. His education has provided him with a solid foundation in electrical engineering and materials science, equipping him with the knowledge and skills needed for advanced research. At both institutions, Saibo excelled academically, receiving several scholarships and awards that recognized his outstanding performance. His studies have been complemented by hands-on research experiences, enabling him to apply theoretical concepts to practical challenges in non-destructive testing and sensor technology. Saibo’s educational journey reflects a commitment to excellence and a strong desire to contribute to advancements in his field.

Experience 

Saibo She has extensive research experience, starting in July 2019, where he has been involved in multiple significant projects. His work includes analyzing mechanical stress wave mechanisms in silicon carbide power electronic devices and exploring damage mechanisms using nonlinear electromagnetic acoustic emission methods. He has contributed to research funded by the National Natural Science Foundation of China and participated in projects related to non-destructive testing techniques. Saibo’s main responsibilities include the simulation and analysis of electromagnetic fields, the design and evaluation of electromagnetic sensors, and hardware circuit design. He has also constructed experimental platforms for testing and validation purposes. His involvement in these projects showcases his technical expertise and ability to tackle complex engineering problems, making him a valuable asset in the field of non-destructive evaluation.

Awards and Honors 

Saibo She has received numerous awards and honors throughout his academic career. In March 2023, he was awarded the IEEE Instrumentation and Measurement Graduate Fellowship Award. He is a recipient of the China Scholarship Council (CSC) and University of Manchester Joint Scholarship, covering the period from 2022 to 2026. During his time at Hunan University, he received several accolades, including the Graduate Student National Scholarship for two consecutive years (2020-2021 and 2019-2020) and the Academic First-Class Scholarship. Additionally, he was recognized as an Outstanding Graduate Student for the 2019-2020 academic year. His achievements in competitions include the Central China Second Prize in the China Sensor Innovation and Entrepreneurship Competition and multiple awards in electronic design competitions. These recognitions underscore his dedication to research excellence and innovation in engineering.

Research Focus

Saibo She’s research focuses on the design of eddy current array sensors and the evaluation of ferromagnetic materials, particularly through the study of hysteresis loops and Barkhausen magnetic noise. He is keenly interested in defect diagnosis and identification utilizing artificial intelligence algorithms, aiming to enhance the capabilities of non-destructive testing techniques. His work addresses challenges in materials science and engineering, particularly in improving the reliability and efficiency of sensor technologies. By integrating machine learning approaches into traditional testing methods, Saibo seeks to push the boundaries of current evaluation techniques. His research not only contributes to academic knowledge but also has practical implications for industries requiring advanced non-destructive testing solutions. Saibo’s commitment to innovation and his technical expertise position him as a leading researcher in the field, with the potential to significantly advance the understanding and application of electromagnetic testing methods.

Publication Top Notes

  • Flexible Differential Butterfly-Shape Eddy Current Array Sensor for Defect Detection of Screw Thread 📄
  • Flexible Floral Eddy Current Probe for Detecting Flaws in Metal Plate 📄
  • Optimal Design of Remote Field Eddy Current Testing Probe for Ferromagnetic Pipeline Inspection 📄
  • An Innovative Eddy Current Sensor with E-Core Ferrite Resistant to Lift-Off and Tilt Effects 📄
  • Inspection of Defects Depth for Stainless-Steel Sheets Using Four-Coil Excitation Sensor and Deep Learning 📄
  • Evaluation of Defects Depth for Metal Sheets Using Four-Coil Excitation Array Eddy Current Sensor and Improved ResNet18 Network 📄
  • Thickness Measurement and Surface-Defect Detection for Metal Plate Using Pulsed Eddy Current Testing and Optimized Res2Net Network 📄
  • Simultaneous Measurements of Metal Plate Thickness and Defect Depth Using Low Frequency Sweeping Eddy Current Testing 📄
  • Size-Distinguishing Miniature Electromagnetic Tomography Sensor for Small Object Detection 📄
  • Diffusion Velocity of Eddy Current in Metallic Plates Using Point-Tracing Method 📄
  • Temperature Monitoring of Vehicle Brake Drum Based on Dual Light Fusion and Deep Learning 📄

Conclusion

Saibo She is an excellent candidate for the Research for Best Researcher Award due to his impressive research accomplishments, innovative contributions, and strong leadership capabilities. By addressing the areas for improvement, such as expanding the practical impact of his research and enhancing interdisciplinary collaborations, he can further strengthen his profile. His trajectory indicates a promising future in research and innovation, making him a worthy recipient of this award.

 

 

Bonginkosi Thango | Electrical Engineering Award | Best Researcher Award

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Dr Bonginkosi Thango | Electrical Engineering Award | Best Researcher Award

Dr Bonginkosi Thango, University of Johannesburg, South Africa

Dr. Bonginkosi Allen Thango is a distinguished researcher and Senior Lecturer at the University of Johannesburg, specializing in Electrical Engineering. He holds a Doctor of Engineering (D.Eng.) and is a registered Professional Engineering Technologist with ECSA. Dr. Thango’s expertise encompasses Transformer Engineering, Artificial Intelligence & Machine Learning, Digital Twins, and Metaheuristic Algorithms. His research focuses on predictive maintenance strategies, renewable energy integration, and IoT applications in power systems. He has authored numerous peer-reviewed papers and two books, contributing significantly to advancing transformer diagnostics and optimization. Recognized for his academic achievements, Dr. Thango was awarded the Y2 NRF-rated Researcher status in 2024 and received the M&G 2022 200 Young South Africans Award for Technology and Innovation. He actively engages in teaching, research supervision, and community projects, emphasizing innovation in electrotechnology and technology management.

Publication Profile

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Education

Dr. Bonginkosi A. Thango has a rich educational background in Electrical Engineering, culminating in his Doctor of Engineering (D.Eng.) degree from Tshwane University of Technology in 2021. His doctoral research focused on assessing harmonic effects on utility-scale photovoltaic plant step-up transformers. Prior to this, he achieved a Master of Engineering (M.Eng.) with Cum Laude honors in 2019, specializing in transformer winding deformation diagnosis through Sweep Frequency Response Analysis (SFRA). He commenced his academic journey with a Bachelor of Technology (B.Tech.) in Electrical Engineering in 2017, exploring practical simulations of underground cable faults using time-domain reflectometry (TDR). His foundational education includes a National Diploma in Electrical Engineering (2016) and a National Senior Certificate (2010), emphasizing mathematics and physical sciences.

Experience

Dr. Thango’s career is distinguished by his roles in academia and industry. Currently serving as a Senior Lecturer at the University of Johannesburg since 2024, he actively contributes to teaching, research, and academic administration in Electrical Engineering. His responsibilities include curriculum development, supervising postgraduate students, securing research funding, and publishing in peer-reviewed journals. Previously, he held positions such as Lecturer at the same institution from 2022 to 2024, where he conducted research, supervised students, and contributed to innovation in his field.

Awards and Honors

Acknowledged as a leader in his field, Dr. Thango received the Mail and Guardian 2022: 200 Young South Africans award in the category of Technology and Innovation. He is also recognized as a Y2 NRF-rated researcher, highlighting his substantial contributions to engineering research. His academic achievements include scholarships during his postgraduate studies and awards for academic excellence during his early education.

Research focus

Dr. Bonginkosi A. Thango’s research is dedicated to advancing the field of electrical power transformers, focusing on diagnostics, predictive maintenance, and optimization strategies. His work spans various critical areas aimed at enhancing transformer reliability and performance using state-of-the-art technologies and methodologies. He has contributed significantly to understanding and classifying partial discharge sources in power transformers through systematic literature reviews and empirical studies. Dr. Thango’s research also delves into predictive modeling for transformer insulation, particularly using Adaptive Neuro-Fuzzy Inference Systems (ANFIS) to forecast the remaining life cycle of cellulose insulation. Additionally, he explores the integration of solar photovoltaic (PV) systems with transformers, investigating the techno-economic implications and optimizing PV transformer designs

Publication Top Notes

🔍 “Partial Discharge Source Classification in Power Transformers: A Systematic Literature Review” (2024) – Investigates methods for categorizing partial discharge sources in transformers.

🔬 “A Technique for Transformer Remnant Cellulose Life Cycle Prediction Using Adaptive Neuro-Fuzzy Inference System” (2023) – Develops a predictive model for assessing cellulose insulation life in transformers.

☀️ “Techno-Economic Modelling of Solar Photovoltaic (PV) Power Transformers in South Africa” (2023) – Explores economic implications of integrating PV systems with transformers.

🛠️ “Dissolved Gas Analysis and Application of Artificial Intelligence Technique for Fault Diagnosis in Power Transformers: A South African Case Study” (2022) – Applies AI to fault diagnosis via dissolved gas analysis.

📊 “Feedforward Artificial Neural Network (FFANN) Application in Solid Insulation Evaluation Methods for the Prediction of Loss of Life in Oil-Submerged Transformers” (2022) – Utilizes FFANN for predicting transformer insulation degradation.

🔧 “Application of the Analysis of Variance (ANOVA) in the Interpretation of Power Transformer Faults” (2022) – Analyzes transformer fault data using ANOVA techniques.

🌐 “On the Application of Artificial Neural Network for Classification of Incipient Faults in Dissolved Gas Analysis of Power Transformers” (2022) – Focuses on using neural networks for early fault detection in transformer gases.