Article
Chemistry, Multidisciplinary
Hamidreza Besharatifard, Saeed Hasanzadeh, Ehsan Heydarian-Forushani, Hassan Haes Alhelou, Pierluigi Siano
Summary: This paper analyzes the capability of low-cost piezoelectric sensors to identify partial discharges (PDs) within oil-filled power transformers, and verifies their effectiveness for PD detection and monitoring.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Artificial Intelligence
Marde Helbig, Andries Engelbrecht
Summary: This article extends the study on the application of partial dominance relation in another multi-objective optimization algorithm and evaluates its performance. The results provide further evidence that the partial dominance relation is an efficient approach to solve multi-objective optimization problems.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Computer Science, Information Systems
George V. R. Xavier, Hugerles S. Silva, Edson G. Da Costa, Alexandre J. R. Serres, Nuno B. Carvalho, Arnaldo S. R. Oliveira
Summary: This article provides a comprehensive survey on the most relevant research in the area of detection, classification, and location of partial discharge (PD) sources using the radiometric or ultra high frequency (UHF) method, focusing mainly on the works related to the use of antennas. It is the first review paper that focuses on the application of antennas based on UHF method in the complete diagnosis of PD. Summary of works in the area of UHF detection sensors, PD classification, and PD location, with their respective contributions, are shown, discussing research trends, challenging, and open issues. The purpose of this article is to provide important information about the complete diagnosis of PD, which could guide the development of more efficient techniques in this research area.
Article
Engineering, Electrical & Electronic
S. Didouche, A. Nacer, A. Ziani, H. Moulai, K. Mazighi
Summary: In this paper, a new method for detection and localization of partial discharges in a power transformer is proposed. By using only two acoustic sensors, the method achieves efficient and accurate detection and localization. The spatio-temporal distribution of acoustic pressure is obtained through finite element method and an iterative approach. The method's performance is compared with a direct resolution method.
ELECTRIC POWER SYSTEMS RESEARCH
(2022)
Article
Computer Science, Information Systems
Hamidreza Besharatifard, Saeed Hasanzadeh, Ehsan Heydarian-Forushani, S. M. Muyeen
Summary: This paper addresses the localization of Partial Discharge inside transformers through a 3D Finite Element Method analysis of acoustic wave propagation. The study proposes a new installation arrangement of fiber-optic acoustic sensors and demonstrates their significant effects on PD localization accuracy.
Article
Engineering, Industrial
Fehmi Burcin Ozsoydan, Ilker Golcuk
Summary: This paper introduces a cooperative approach using swarm intelligence algorithm and linear programming solver to solve the capacitated facility location problem. The proposed strategy decomposes the problem into two sub-problems and utilizes an improved algorithm and optimization model for solving. The experimental results show promising performance of the proposed strategy.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Hong-yang Zhou, Guo-ming Ma, Meng Zhang, Han-chi Zhang, Cheng-rong Li
Summary: A Michelson ultrasonic sensing system was proposed to detect partial discharge in power transformers, with an optimized sensor head design to enhance sensitivity. Experimental results showed that the system has higher response sensitivity and can effectively detect small defects in power transformers.
IEEE SENSORS JOURNAL
(2021)
Article
Chemistry, Physical
Vladimir Poluzanski, Nenad Kartalovic, Bosko Nikolic
Summary: This research analyzes the influence of transformer oil temperature on the accuracy of the all-acoustic non-iterative method for partial discharge location, quantifying the contribution through analytical, statistical, and Monte Carlo methods. The study reveals that the contribution varies significantly with different positions of partial discharge and acoustic sensors, proposing a procedure to control the contribution in practice.
Article
Robotics
Yunping Liu, Xun Zhao, Jun Xu, Shuaihui Zhu, Dongyan Su
Summary: This paper proposes an improved particle swarm optimization (IPSO) algorithm to enhance the efficiency of multi-unmanned aerial vehicles (UAVs) in odor source localization. The algorithm preplans search routes, adapts inertia weights, and avoids internal collision using the Zigzag algorithm and artificial potential field algorithm.
JOURNAL OF FIELD ROBOTICS
(2022)
Article
Automation & Control Systems
Yuan Lin, Peter B. Shull
Summary: Soft acoustic waveguide is an innovative soft sensor that can simultaneously sense force and location, and is insensitive to bending.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Computer Science, Information Systems
Mariana Macedo, Hugo Siqueira, Elliackin Figueiredo, Clodomir Santana, Rodrigo C. Lira, Anu Gokhale, Carmelo Bastos-Filho
Summary: Swarm Intelligence is widely used in optimization problems due to its robustness, scalability, generality, and flexibility, but selecting appropriate swarm-based algorithms for binary optimization remains challenging. Through an analysis of 403 scientific papers, it was found that binary swarm-based algorithms are more efficient in addressing binary optimization problems.
Article
Energy & Fuels
Tian Tian, Xiu Zhou, Sihan Wang, Yan Luo, Xiuguang Li, Ninghui He, Yunlong Ma, Weifeng Liu, Rongbin Shi, Guoming Ma
Summary: This study demonstrated a reformative PD ultrasonic sensing system based on PS-FBG, which improved the response to the ultrasonic signal and reduced electromagnetic interference, achieving early diagnosis of insulation faults in power transformers.
Article
Energy & Fuels
Franciszek Witos, Aneta Olszewska
Summary: This paper presents the authors' designed and built multi-channel measurement systems for researching partial discharge phenomena using the acoustic emission method. The systems offer real-time monitoring, signal recording, and analysis capabilities in various domains. The paper also introduces a descriptor, called ADC, which ranks signals based on their degree of advancement. Experimental results demonstrate the effectiveness of the authors' patented method for locating and identifying partial discharge in power oil transformers. The authors diagnose the insulation condition of tested transformers and validate their diagnoses through inspections.
Article
Green & Sustainable Science & Technology
Yan Wu, Syed Mahfuzul Aziz, Mohammed H. Haque
Summary: This research proposes a novel household energy cost optimisation method by incorporating more realistic variable EV charging characteristics, power export limits, degradation of battery energy storage, and battery salvage revenue. It shows that PV with BES and EV is the most economical configuration for individual households.
Article
Chemistry, Multidisciplinary
Hsiao-Chung Lin, Ping Wang, Wen-Hui Lin, Yu-Hsiang Huang
Summary: This study focuses on using the multiple-swarm particle swarm optimization (MSPSO) algorithm to trace multiple attack sources back to a botnet, achieving an effective balance between individual particle exploitation and multiswarm exploration. The algorithm accurately traces multiple attack sources by confirming crucial paths for successful traceback.
APPLIED SCIENCES-BASEL
(2021)
Article
Thermodynamics
Masoud Yazdanpanah, Nadejda Komendantova, Tahereh Zobeidi
Summary: This study investigated the factors influencing Iranian farmers' intention and willingness to use renewable energy sources in the energy-intensive broiler industry. The findings demonstrated the effectiveness of the Health Belief Model in predicting farmers' intentions to use RES, highlighting the importance of providing more information to encourage the use of renewable energy sources.
INTERNATIONAL JOURNAL OF GREEN ENERGY
(2022)
Correction
Ecology
Elham Chenani, Masoud Yazdanpanah, Masoud Baradaran, Taher Azizi-Khalkheili, Mostafa Mardani Najafabadi
JOURNAL OF ARID ENVIRONMENTS
(2021)
Article
Green & Sustainable Science & Technology
Masoud Yazdanpanah, Maryam Tajeri Moghadam, Farhad Javan, Mojtaba Deghanpour, Stefan Sieber, Peyman Falsafi
Summary: This study utilized the Theory of Planned Behavior to examine factors influencing farmers' willingness to transition to organic farming, finding that morality consideration was the strongest predictor, followed by fear and perceived behavioral control. Interestingly, other components of rationality did not predict willingness. The results can help policymakers develop strategies to encourage farmers to cultivate healthy and environmentally friendly organic products.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2022)
Article
Green & Sustainable Science & Technology
Tahereh Zobeidi, Jafar Yaghoubi, Masoud Yazdanpanah
Summary: Water scarcity poses a global threat to smallholder farmers and crops, with farmers' adaptation behavior and the implementation process being crucial in tackling this threat. The study provides a relatively comprehensive model consisting of six basic parts, including understanding the causes and effects of water scarcity, adaptation methods, and consequences, which can assist researchers, policymakers, and stakeholders in better understanding and describing informed decision-making processes.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2022)
Article
Development Studies
Masoud Yazdanpanah, Maryam Tajeri Moghadam, Tahereh Zobeidi, Ana Paula Dias Turetta, Luca Eufemia, Stefan Sieber
Summary: This study aims to analyze factors influencing farmers' willingness to implement Organic Farming in southwest Iran, with cue to action identified as the most important factor. The results indicate that the Health Belief Model is an effective tool for investigating farmer willingness towards Organic Farming.
JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT
(2022)
Article
Environmental Sciences
Abbas Mirzaei, Hassan Azarm, Masoud Yazdanpanah, Mostafa Mardani Najafabadi
Summary: Climate change in Iran has caused frequent droughts and reduction of water resources, making Iranian farmers vulnerable. The study found that off-farm income and access to credit have a significant positive impact on the adoption of adaptive strategies. Furthermore, active participation in social groups strengthens farmers' beliefs and risk perception of climate change, providing greater incentives for employing adaptive strategies.
Article
Economics
Tahereh Zobeidi, Nadejda Komendantova, Masoud Yazdanpanah
Summary: Despite the potential of solar and wind energy in Iran, the share of renewable energy sources in the energy mix remains small due to various barriers. Social media plays an increasingly important role in shaping people's perceptions and intentions towards using renewable energy. Perceived risk of climate change and self-efficacy significantly affect individuals' intention to use renewable energies, highlighting the importance of trusted channels for government agencies to promote the use of renewable energy sources.
Article
Green & Sustainable Science & Technology
Masoud Yazdanpanah, Kurt Klein, Tahereh Zobeidi, Stefan Sieber, Katharina Loehr
Summary: This study examines the factors influencing the adoption of improved irrigation technology in Iran, focusing on farmers' socio-economic characteristics, social capital, and technology characteristics. The findings suggest that socio-economic factors are the strongest predictor of adoption, followed by technology characteristics and social capital. The results provide valuable insights for agricultural extension agents and policy-makers to design effective strategies for increasing the adoption rate of drip irrigation.
Article
Agronomy
Tahereh Zobeidi, Jafar Yaghoubi, Masoud Yazdanpanah
Summary: This study investigates the effects of cognitive factors on maladaptation in farmers' incremental adaptation to water scarcity. The results show that maladaptation has a negative impact on determining adaptive behaviors, and perceived susceptibility, perceived cost, and perceived self-efficacy directly affect both adaptive behavior and maladaptation.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Development Studies
Masoud Yazdanpanah, Sarah Ann Wheeler, Alec Zuo, Tahereh Zobeidi
Summary: This study analyzed farmer perceptions and adaptation behavior towards climate change in Iran, using structural equation modeling. The results showed that social trust and responsibility directly influenced adaptation and mitigation, while age, education, and family size had no significant association with adaptation and mitigation. Beliefs in farm and local climate change impacts had the biggest positive impact on farm adaptation. Overall beliefs in climate change played a negative role in farm adaptation, highlighting the importance of targeted communication at the local and regional levels.
CLIMATE AND DEVELOPMENT
(2023)
Article
Environmental Studies
Katharina Loehr, Custodio Efraim Matavel, Sophia Tadesse, Masoud Yazdanpanah, Stefan Sieber, Nadejda Komendantova
Summary: Hydrogen is considered a crucial element in the energy transition, but its large-scale deployment is a contested policy issue due to potential injustice in risk, benefit, and cost distribution. This paper provides insights for a more just transition to the hydrogen economy through a historical analysis of past energy projects. Policymakers should also focus on energy access for affected communities.
Article
Environmental Sciences
Tahereh Zobeidi, Masoud Yazdanpanah, Laura A. A. Warner, Alexa Lamm, Katharina Loehr, Stefan Sieber
Summary: The perceptions of agricultural experts about climate change indirectly influence their intention to implement climate change mitigation. Risk perception, personal efficacy, responsibility, belief in climate change, and low psychological distance are found to significantly enhance the intention to support personal and professional mitigation behaviors.
ENVIRONMENTAL MANAGEMENT
(2023)
Article
Multidisciplinary Sciences
Masoud Yazdanpanah, Tahereh Zobeidi, Laura A. Warner, Katharina Loehr, Alexa Lamm, Stefan Sieber
Summary: Due to the severe effects of climate change on agriculture, urgent action is required from farmers, but their engagement in climate change adaptation remains insufficient and inconsistent. The aim of this study is to evaluate how psychological distance influences climate change beliefs and adaptation strategies among Iranian farmers. A survey was conducted in southwest Iran, and the results show that psychological distance influences water management adaptation strategies, non-farm activities, and farming management adaptation.
SCIENTIFIC REPORTS
(2023)
Article
Horticulture
Skylar R. Moreno, Masoud Yazdanpanah, Tianyi Huang, Charles A. Sims, Carlene A. Chase, Geoffrey Meru, Amarat Simonne, Andrew J. MacIntosh
Summary: This study aimed to determine and compare the quality parameters of novel calabaza germplasm lines with commercially available cultivars of calabaza and butternut squash. Promising germplasms, such as UFTP 8 and UFTP 24, showed high quality attributes including color saturation, degrees Brix, yeast fermentable extract, and firmness/hardness. These findings demonstrate the potential to enhance consumer preferences for calabaza through breeding and provide a basis for commercial release of superior germplasm.
Article
Economics
Chayasmita Deka, Mrinal Kanti Dutta, Masoud Yazdanpanah, Nadejda Komendantova
Summary: With the increasing demands for personal vehicles and the rising emissions from road transportation in India, it is crucial to replace future vehicle purchases with electric vehicles (EVs) in order to meet the growing middle class's need for comfort and social status while reducing vehicular emissions. This study explores the socio-psychological factors that contribute to individuals' intention to purchase an EV in the near future. The Theory of Planned Behavior (TPB) constructs, along with additional factors such as cost, herd behavior, and personal norms, are analyzed through Structural Equation Modeling and mediation analysis to identify the direct and indirect pathways in which intentions to adopt EVs are formed. The findings suggest that subjective norms and perceived behavioral control play key roles in shaping individuals' intentions. Additionally, factors like cost, herd behavior, and personal norms indirectly influence intention formation through mediating the TPB variables. Therefore, in addition to subsidies, EV promotion policies in India need to incorporate other attitudinal and norm-based strategies to facilitate faster EV adoption.
