Article
Energy & Fuels
Liviu Neamt, Alina Neamt, Olivian Chiver
Summary: This paper addresses the difficulties and uncertainties related to earth fault loop impedance measurement, highlighting the errors and shortcomings that accompany the measurement process. Factors such as the position in the power system, the influence of power transformers, and the use of effective quantities instead of phasors can lead to errors in impedance assessment. By simulating power distribution networks and proposing solutions, the accuracy of measurement protocols can be improved.
Article
Energy & Fuels
Sara Mansson, Marcus Thern, Per-Olof Johansson Kallioniemi, Kerstin Sernhed
Summary: This paper suggests a fault handling process for detecting and eliminating faults in DH customer installations, based on customer data analysis. The process aims to minimize the impact of faults on district heating systems and improve fault handling efficiency.
Article
Energy & Fuels
Leonardo Cardinale-Villalobos, Carlos Meza, Abel Mendez-Porras, Luis D. Murillo-Soto
Summary: This paper compares the effectiveness of infrared thermography, visual inspection, and electrical analysis in detecting suboptimal conditions in PV systems. The results show that visual inspection is the most effective in detecting soiling and partial shadows, while infrared thermography and electrical analysis have lower effectiveness for all three conditions.
Article
Engineering, Electrical & Electronic
Jose Doria-Garcia, Cesar Orozco-Henao, Roberto Leborgne, Oscar Danilo Montoya, Walter Gil-Gonzalez
Summary: This paper presents an impedance-based method to estimate fault location in transmission lines, using the Gauss-Newton method to calculate and considering voltage and current measurements at both terminals. The method is suitable for high and low impedance faults, with a fault location accuracy error below 0.1% for over 90% of test cases, indicating its potential for real-life applications.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Computer Science, Information Systems
O. D. Naidu, Sinisa Zubic, A. V. S. S. R. Sai, A. N. Praveen, Patrick Cost, Hakan Eriksson
Summary: This paper proposes a setting-free fault location method for power transmission lines, which uses voltage and current measurements to estimate the required setting parameters and calculate the fault location. The experimental results show that the method has high fault location accuracy and is not affected by line parameters and renewable integration.
Article
Green & Sustainable Science & Technology
Priya Ranjan Satpathy, Belqasem Aljafari, Sudhakar Babu Thanikanti, Siva Rama Krishna Madeti
Summary: This paper investigates the reliability of array configurations in solar PV systems under various electrical faults. A powerline communication-based PV monitoring system is developed to monitor performance, detect faults, and access data. From the analysis, series-parallel configuration shows a higher average tolerance compared to honeycomb, bridge-linked, and total-cross-tied configurations.
Article
Engineering, Electrical & Electronic
Vahid Shiravand, Jawad Faiz, Mohammad Hamed Samimi, Mehdi Mehrabi-Kermani
Summary: This paper introduces a new advanced thermal model and utilizes thermography and computational fluid dynamic methods to predict and analyze the thermal behavior and faults of distribution transformers. Experimental validation confirms the accuracy of the proposed model.
IET GENERATION TRANSMISSION & DISTRIBUTION
(2021)
Article
Chemistry, Analytical
Radityo Fajar Pamungkas, Ida Bagus Krishna Yoga Utama, Yeong Min Jang
Summary: Photovoltaic (PV) systems have great potential for clean energy generation and their adoption has grown significantly in recent years. Faults in PV systems can lead to safety risks, reduced lifespan, and waste. This paper highlights the importance of accurately classifying faults in PV systems to maintain optimal efficiency and increase financial return. The proposed lightweight coupled UdenseNet model shows significant improvements in fault classification accuracy and efficiency compared to previous studies, and image augmentation techniques further enhance performance on unbalanced datasets.
Article
Engineering, Chemical
Yong Zhang, Guangjun He, Guangjian Li, Almoataz Youssef Abdelaziz, Mahmoud Abdallah Attia
Summary: This article proposes a fluctuation-reducing fault diagnosis method (FRFDM) for use in power distribution networks. The method uses fuzzy linear inferences to identify fluctuations in electrical signals caused by peak load demand and signal interruptions. It improves the fault detection process and ensures minimal distribution failures.
Article
Energy & Fuels
Tadeusz Daszczynski, Michal Ostapowski, Aleksander Szerner
Summary: One of the core features of delivering a Building Information Modelling (BIM) project is design coordination and clash detection. BIM can help reduce the cost of clashes and provide solutions for unforeseen costs in construction investments, especially in electrical installations.
Article
Engineering, Electrical & Electronic
Zeyu Ye, Jingyuan Yin, Tongshuo Zhang, Sha Zheng, Qingpeng Zeng, Tongzhen Wei
Summary: This paper proposes a matrix switch fault reconstruction method based on 0-1 integer programming, which can meet the electrical power supply and protection requirements of the load. Compared with general fault countermeasures, this method has independent decision-making ability, can be expanded by modifying a few parameters, and can be integrated into the management of the entire satellite power supply system.
IET POWER ELECTRONICS
(2023)
Article
Materials Science, Characterization & Testing
Tauheed Mian, Anurag Choudhary, Shahab Fatima
Summary: This study investigated the diagnosis of bearing faults using vibration monitoring and infrared thermography, with automated classification using a 2D convolutional neural network. The proposed methodology achieved high classification accuracy for dual and multiple fault conditions in the experiments.
NONDESTRUCTIVE TESTING AND EVALUATION
(2023)
Article
Engineering, Multidisciplinary
Jose M. Guerrero, Gustavo Navarro, Kumar Mahtani, Carlos A. Platero
Summary: This article presents a new ground fault location method for the controlled ac drive side of a dc-ac system. It is based on measuring the voltage of a grounding resistor placed at the midpoint of the dc bus and comparing it with the phase-neutral voltages of the ac drive side. The method detects the faulty phase through angle comparison and provides an estimation of the fault location. Simulation and experimental tests confirm its effectiveness.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2022)
Article
Geochemistry & Geophysics
Alessandro Valentini, Yoshimitsu Fukushima, Paolo Contri, Masato Ono, Toshiaki Sakai, Stephen C. Thompson, Emmanuel Viallet, Tadashi Annaka, Rui Chen, Robb E. S. Moss, Mark D. Petersen, Francesco Visini, Robert R. Youngs
Summary: In response to emerging fault displacement hazard evaluation practices, IAEA revised its safety standards for site evaluations of nuclear installations in the last 10 years, explicitly recommending fault displacement hazard assessment and probabilistic fault displacement hazard analysis. This article provides an overview of current PFDHA state-of-practice for nuclear installations consistent with the new IAEA safety standards, and summarizes progress in an ongoing international PFDHA benchmark project.
BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA
(2021)
Article
Engineering, Environmental
Jianfeng Zhou, Genserik Reniers
Summary: Identifying critical installations in a chemical area is crucial for safety management. The study defines the area impact degree of installations by analyzing accident probabilities and losses. Comparison of impact degrees allows for easy identification of critical installations. Case studies and analysis of storage areas demonstrate the applicability of the approach.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2021)
Article
Computer Science, Information Systems
Ivica Petrovic, Srete Nikolovski, Hamid Reza Baghaee, Hrvoje Glavas
IEEE SYSTEMS JOURNAL
(2020)
Article
Engineering, Electrical & Electronic
Hrvoje Glavas, Tomislav Baric, Dina Jukic, Eleonora Desnica
JOURNAL OF THE SOCIETY FOR INFORMATION DISPLAY
(2020)
Article
Energy & Fuels
Predrag Maric, Ruzica Kljajic, Harold R. Chamorro, Hrvoje Glavas
Summary: The study introduces an enhanced algorithm for PSS tuning in the multimachine system, which is based on the analysis of system participation factors and pole placement method. The algorithm effectively increases damping while maintaining time-domain behavior of the system, classifying and validating active power, speed, and rotor angle of the synchronous generator.
Article
Chemistry, Multidisciplinary
Hrvoje Glavas, Matej Znidarec, Damir Sljivac, Nikola Vei
Summary: This paper presents a research on the inspection method for disaster-affected modules in PV power plants and confirms the role of infrared thermography as a complementary method for testing PV modules.
APPLIED SCIENCES-BASEL
(2022)
Article
Chemistry, Multidisciplinary
Ivica Petrovic, Hrvoje Glavas, Robert Noskov, Damir Blazevic
Summary: The paper presents a general state estimation model based on fuzzy logic, membership function, and expert knowledge for CB diagnosis schemes.
APPLIED SCIENCES-BASEL
(2021)
Article
Chemistry, Multidisciplinary
Hrvoje Glavas, Tomislav Baric, Mirko Karakasic, Tomislav Keser
Summary: This study analyzed the application of infrared thermography in assessing the condition of e-bike batteries. The research found that infrared thermography can determine the homogeneity of the capacity of individual battery cells, but it cannot judge the expression or shape of the thermal pattern.
APPLIED SCIENCES-BASEL
(2022)
Article
Chemistry, Multidisciplinary
Josip Balen, Hrvoje Glavas, Kresimir Vdovjak, Josip Jakab
Summary: This paper presents a unique solution for the development of an autonomous robot for fire prevention, detection, and extinguishing. The robot is equipped with different sensors and the optimal early-detection sensor in the infrared spectrum is chosen. Calibration of thermal cameras allows for correction of input data and anomaly detection for computer analysis.
APPLIED SCIENCES-BASEL
(2022)
Article
Chemistry, Multidisciplinary
Damir Blazevic, Tomislav Keser, Hrvoje Glavas, Robert Noskov
Summary: Transformers are crucial components in the power system and require constant monitoring and maintenance due to their size and complexity. Condition-based maintenance (CBM) is useful for substations as part of the system's on-demand response. This paper proposes a multi-level condition assessment framework based on evidential reasoning and presents a model for condition-based maintenance of power transformers. The scientific contribution lies in the analysis that provides insight into the system's condition and determines its maintenance priority based on a single numerical value.
APPLIED SCIENCES-BASEL
(2023)
Article
Chemistry, Multidisciplinary
Kresimir Mastanjevic, Kristina Habschied, Kresimir Dvojkovic, Mirko Karakasic, Hrvoje Glavas
Summary: The implemented novel solution provides a clearer cut for determining the vitreousness of grains, resulting in cleaner and easier to read pictures. It also reduces the force required for cutting the grains. This research introduces a better and more reliable method for determining grain vitreosity, exceeding current literature by reducing analysis force and accelerating the analysis process.
APPLIED SCIENCES-BASEL
(2023)
Article
Imaging Science & Photographic Technology
Caslav Livada, Hrvoje Glavas, Alfonzo Baumgartner, Dina Jukic
Summary: Thermography is a widely used method for measuring surface temperature by analyzing infrared radiation, but the accuracy depends on factors like emissivity and reflected radiation. Thermographic images are not temperature maps; they are converted thermal radiation, and improper calibration can result in incorrect temperatures. This study analyzes image processing techniques and their impact on radiometric data in thermography, including the effects of contrast, brightness, and JPEG compression. The study emphasizes the importance of accurate and precise thermographic analysis for reliable temperature measurement.
JOURNAL OF IMAGING
(2023)
Proceedings Paper
Engineering, Manufacturing
Duska Jarcevic, Ljiljana Radovanovic, Jasmina Pekez, Borivoj Novakovic, Hrvoje Glavas
Summary: This paper presents a study on the choice of appropriate battery maintenance methodology to improve the safety, reduce system failure and increase reliability of thermal power systems. The proposal suggests regular inspections and periodic replacement of individual cells for preventive maintenance. Tests carried out at the Zrenjanin thermal power plant at five-year intervals are presented. The conclusion emphasizes the need for maintenance to enhance the system and reliability.
31ST INTERNATIONAL CONFERENCE ON ORGANIZATION AND TECHNOLOGY OF MAINTENANCE (OTO 2022)
(2023)
Article
Engineering, Multidisciplinary
Hrvoje Glavas, Mirko Karakasic, Milan Kljajin, Eleonora Desnica
Summary: The passage highlights the importance of maintaining vehicles during the pandemic, suggesting a DIY approach and ordering spare parts online to avoid human contact. It emphasizes the need for car owners to regularly replace oil and filters to maintain vehicle reliability.
TEHNICKI VJESNIK-TECHNICAL GAZETTE
(2021)
Article
Biotechnology & Applied Microbiology
Kristina Habschied, Hrvoje Glavas, Emmanuel Karlo Nyarko, Kresimir Mastanjevic
Summary: Comparing image analysis with laser distance meter (LDM) results, it is found that LDM provides more accurate monitoring of beer foam stability. Foam height and disappearance time can be measured more precisely, especially when lacing is present even after foam disappearance.
FERMENTATION-BASEL
(2021)
Article
Biotechnology & Applied Microbiology
Emmanuel Karlo Nyarko, Hrvoje Glavas, Kristina Habschied, Kresimir Mastanjevic
Summary: Foam stability and retention are crucial indicators of beer quality and freshness, with challenges in analyzing foam stability under real conditions. By introducing a 3D camera, the foam stability of lager beers can be effectively monitored for predictive purposes.
FERMENTATION-BASEL
(2021)
