Article
Chemistry, Multidisciplinary
Szymon Grzesiak, Andrzej Adamkiewicz
Summary: The research results show that using a single injector for a single heat exchanger can increase the thermal efficiency of marine steam turbine propulsion plants by 0.6-0.9%. It is also justified to use multistage feed water heating systems for optimizing the operating parameters of the injectors. Additionally, the use of two-stage steam jet injector units is advisable for achieving higher degrees of feed water heating.
APPLIED SCIENCES-BASEL
(2021)
Article
Energy & Fuels
Luis Blanco-Cocom, Salvador Botello-Rionda, L. C. Ordonez, S. Ivvan Valdez
Summary: This study proposes a new semi-empirical mathematical model for DEFC simulations at different temperatures by introducing temperature-dependent parameter forms. The model is combined with a distribution algorithm to find the best numerical simulation that reproduces the experimental polarization curve. The method is validated by estimating parameters from experimental data and can be used to reduce physical experimentation and test different designs and operation settings.
Article
Nuclear Science & Technology
Song-Chuan Zheng, Qing-Quan Pan, Huan-Wen Lv, Song-Qian Tang, Xiao-Jing Liu
Summary: The lightweight shielding design of small reactors is studied, focusing on the effects of neutron and photon shielding sequence and the number of shielding layers. By optimizing the relative thickness of the shielding layers using a genetic algorithm, the radiation dose can be reduced by up to 57% and the weight by 11.84%. A series of formulas describing the relationship between total thickness and radiation dose were developed to avoid local optimal solutions. A semi-empirical and semi-quantitative lightweight shielding design method was proposed and verified using the Monte Carlo method. A code, SDIC1.0, was developed to achieve optimized lightweight shielding design for small reactors, with a 10% difference from the RMC code and a computation time shortened by 6.3 times.
NUCLEAR SCIENCE AND TECHNIQUES
(2023)
Article
Thermodynamics
Boris Aguilar, Pierre Trontin, Kilian Koebschall, Fabien Dezitter, Jeanette Hussong, Philippe Villedieu
Summary: The melting process of aggregate-type snowflakes is studied, where the snowflakes are placed in an acoustic levitator with warm air flow. The shape evolution of the snowflake is recorded by a camera, and the total melting time is measured. A model is proposed based on a simplified 3D geometric representation of the snowflake and an accurate estimation of its bulk density, which greatly improves the accuracy of predicting the total melting time compared to existing models.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2023)
Article
Multidisciplinary Sciences
C-Y Pan, M. Hao, N. Barraza, E. Solano, F. Albarran-Arriagada
Summary: This work presents a semi-autonomous algorithm using IBM quantum computer to obtain an approximation of eigenvectors of arbitrary Hermitian operator, achieving high fidelities with relatively low resource demands. The algorithm reduces the number of measurements in the system using single-shot measurements and pseudo-random changes handled by a feedback loop. The results show that for both single-qubit and two-qubit observables, high-fidelity eigenvectors can be obtained with a comparatively low number of measurements, which is suitable for current quantum devices.
SCIENTIFIC REPORTS
(2021)
Article
Thermodynamics
Fan Wu, Wei Jiang, Yanan Yue, Danmei Xie
Summary: Low load condition affects the performance of steam turbine due to complex flow field. To address this issue, we propose a biomimetic blade with bumpy leading edge inspired by humpback whale flipper. Both experiments and numerical simulation are conducted to study the function and mechanism of the biomimetic blade. The results show that the bumpy leading edge can generate streamwise vortex pairs to suppress the radial vortex, improving the performance of the turbine blade.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2023)
Article
Engineering, Mechanical
Samir Benammar, Kong Fah Tee
Summary: The Cap-Djinet thermal power plant in Algeria is a 1872-MW gas power plant with an important steam turbine. The current diagnosis method based on conditional maintenance for turbine failures leads to high maintenance and production costs. This paper introduces a new approach combining Fault Tree and Artificial Neural Network methods to diagnose failures in real time. The proposed method successfully detects failures through testing on different scenarios.
ENGINEERING FAILURE ANALYSIS
(2023)
Article
Thermodynamics
S. Kabiri, M. H. Khoshgoftar Manesh, M. Amidpour
Summary: This study explores the integration of solar collectors and desalination units into the repowered cycles of the Bandar Abbas steam power plant and analyzes them using the R-Curve tool. The optimized cycles increased freshwater production significantly.
APPLIED THERMAL ENGINEERING
(2021)
Article
Engineering, Electrical & Electronic
Saad Saleem Khan, Hussain Shareef, Ahmad Asrul Ibrahim
Summary: The paper presents a new dynamic semi-empirical model for water management in proton exchange membrane fuel cell systems, which calculates internal oxygen and hydrogen partial pressures without special internal sensors, and models membrane water content and internal resistances based on load current and temperature conditions. The parameters of the model are optimized using a quantum lightning search algorithm, and its performance is validated with experimental data, demonstrating its capability for fault detection and diagnosis in PEMFC systems.
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
(2021)
Article
Engineering, Multidisciplinary
Dmitry Baimel
Summary: This paper presents a new bridge Fault Current Limiter (FCL) that improves the transient stability of steam turbine-based power plants. The proposed FCL operates using an accurate adaptive control algorithm with low computational complexity. It limits fault currents to desired values and has advantages such as preventing power losses and harmonic distortion during normal operation.
ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH
(2023)
Article
Green & Sustainable Science & Technology
Wen-Tao Su, Wei Zhao, Maxime Binama, Yue Zhao, Jian-Ying Huang, Xue-Ren Chen
Summary: An investigation was conducted on the cavitation characteristics of the Francis turbine and its influence on the hydraulic stability using flow visualization and acoustic emission methods. As the cavitation coefficient decreases, gap cavitation develops first, followed by airfoil cavitation. Airfoil cavitation causes variations in machine flow and head and reduces the amplitude of pressure pulsation.
Article
Engineering, Multidisciplinary
Hassan Jalali, Farzad Rafieian, Hamed Haddad Khodaparast
Summary: This work investigates the rotor-armature structure of an exciter rotor used in a steam turbine-generator unit, aiming to create a verified base linear dynamic model for fault diagnosis or nonlinear interactions analysis.
APPLIED MATHEMATICAL MODELLING
(2022)
Review
Plant Sciences
Renee Dale, Scott Oswald, Amogh Jalihal, Mary-Francis LaPorte, Daniel M. Fletcher, Allen Hubbard, Shin-Han Shiu, Andrew David Lyle Nelson, Alexander Bucksch
Summary: The study discusses the underutilization of computational modeling approaches in plant biology, particularly mechanistic mathematical modeling. It presents arguments for the adoption of modeling by plant biologists and provides suggestions for easy-to-use tools for non-specialists. The article emphasizes the importance of a thorough appreciation of different kinds of modeling for interdisciplinary, transformative research in plant biology.
FRONTIERS IN PLANT SCIENCE
(2021)
Article
Chemistry, Multidisciplinary
Wenhong Shen, Zhou Tian, Liang Zhao, Feng Qian
Summary: With energy savings and emission reduction as the background, this paper proposes an integrated multi-objective optimization framework based on life cycle assessment and data-driven modeling for the steam cracking process. The paper investigates the energy consumption and pollution emissions in the process and validates the effectiveness through an industrial case study.
Article
Evolutionary Biology
Aurelien Estarague, Cyrille Violle, Denis Vile, Anais Hany, Thibault Martino, Pierre Moulin, Francois Vasseur
Summary: This study investigated the influence of plant-plant signalling on herbivore foraging activity in Arabidopsis thaliana. The results showed that plant-plant signalling affected the behavior of the herbivorous snails, making plants that had contact with damaged plants more attractive and consumed more. However, the effects of the signalling varied depending on the genotype of the plants. Genome-wide associations revealed that genes related to stress coping ability and the jasmonate pathway were associated with this variation. These findings highlight the adaptive significance of plant-plant signalling in plant-herbivore interactions.
EVOLUTIONARY APPLICATIONS
(2023)
Article
Automation & Control Systems
Saeed Amirkhani, Ali Chaibakhsh, Ali Ghaffari
Article
Computer Science, Information Systems
Mojtaba Kordestani, Ali Chaibakhsh, Mehrdad Saif
IEEE SYSTEMS JOURNAL
(2020)
Article
Engineering, Electrical & Electronic
Moein Radman, Milad Moradi, Ali Chaibakhsh, Mojtaba Kordestani, Mehrdad Saif
Summary: This article introduces a new fusion scheme based on DSET for Epileptic Seizure Detection in brain disorders. Through feature extraction, selection, fusion, and classification, it achieves higher accuracy compared to traditional methods.
IEEE SENSORS JOURNAL
(2021)
Article
Automation & Control Systems
Saeed Amirkhani, Amirreza Tootchi, Ali Chaibakhsh
Summary: This paper describes the design and implementation of intelligent dynamic models for fault detection and isolation of the V94.2(5)/MGT-70(2) single-axis heavy-duty gas turbine system. Nonlinear autoregressive exogenous (NARX) models with series-parallel structure are used for fault detection, providing greater robustness and stability against uncertainties and perturbations. The Monte Carlo technique is employed to improve fault detection robustness by selecting the best threshold. The performance of the suggested technique is analyzed through fault detectability and fault detection sensitivity. The fault isolation process is achieved using the residual classification approach. The results demonstrate the feasibility, robustness, and performance of the presented approach for fault diagnosis of nonlinear systems in the presence of uncertainties.
Article
Engineering, Biomedical
Moein Radman, Ali Chaibakhsh, Nader Nariman-zadeh, Huiguang He
Summary: A brain-computer interface (BCI) is a system that enables communication between an external device and the brain based on neural activity. This study divided brain signals into frequency sub-bands, extracted features in temporal, spatial, and spectral domains, selected features using different ranking methods, and fused results using the Dempster-Shafer evidence method to improve motor imagery classification. The proposed technique achieved a Kappa score of 0.718 on the BCI 2008-2b competition dataset, demonstrating its capability and excellent performance compared to state-of-the-art studies.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2021)
Article
Automation & Control Systems
Mehdi Mousavi, Ali Chaibakhsh, Ali Jamali, Mojtaba Kordestani, Mehrdad Saif
Summary: This article presents a hybrid fault detection and isolation (FDI) approach for heavy-duty gas turbines. By constructing nonlinear dynamical models, estimating fault severity using a fuzzy inference system, and isolating faults using an ensemble decision tree classifier, this approach improves fault detection accuracy while reducing false alarms.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Automation & Control Systems
Nasim Ensansefat, Ali Chaibakhsh, Ali Jamali
Summary: This paper investigates the analytical design of a networked cascade control system exposed to communication delay and data dropout. By proposing an augmented continuous-time state-space model and introducing a mathematical approach, stability analysis and remarkable improvement in H-infinity performance were achieved.
INTERNATIONAL JOURNAL OF CONTROL
(2023)
Article
Engineering, Biomedical
Maryam Gholami, Mahsa Maleki, Saeed Amirkhani, Ali Chaibakhsh
Summary: This study investigates a nonlinear model-based feature extraction approach for accurate classification of four types of heartbeats. Using a new structure in optimization algorithms has considerably increased the speed of feature extraction. The adaptive neuro-fuzzy inference system with data obtained from particle swarm optimization has the shortest process time and the best diagnosis, with a mean accuracy of 99% and a mean sensitivity of 99.11%.
BIOMEDICAL ENGINEERING LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Mojtaba Kordestani, Mehdi Mousavi, Ali Chaibakhsh, Marcos E. Orchard, Khashayar Khorasani, Mehrdad Saif
Summary: This article proposes a novel hybrid approach for predicting the remaining useful life (RUL) of heavy-duty gas turbines. It utilizes discrete wavelet transform (DWT) to reduce noise, constructs a parallel structure of Laguerre filter and neuro-fuzzy to identify non-linear failure dynamics and generate residuals, and employs Bayesian theory to predict the RUL. The use of orthogonal basis functions (OBFs) in designing the Laguerre filter delivers precise estimates, and the parallel configuration accurately identifies failure dynamics and improves the RUL prediction performance. Experimental tests on heavy-duty gas turbines demonstrate the high efficiency of the proposed RUL estimation compared to other failure prognostic strategies.
IEEE SENSORS JOURNAL
(2023)
Review
Neurosciences
Sanaz Rezvani, S. Hooman Hosseini-Zahraei, Amirreza Tootchi, Christoph Guger, Yasmin Chaibakhsh, Alia Saberi, Ali Chaibakhsh
Summary: Patients with locked-in syndrome (LIS) and complete locked-in syndrome (CLIS) can communicate with the outside world through brain-computer interfaces (BCIs), improving their quality of life. This study explores the performance of BCIs tested specifically on LIS and CLIS patients, provides an overview of different modalities and paradigms used in different stages of locked-in syndrome, and discusses the contributions and limitations of BCIs for LIS and CLIS patients.
COGNITIVE NEURODYNAMICS
(2023)
Article
Engineering, Electrical & Electronic
Mehdi Mousavi, Amirreza Mostafavi, Milad Moradi, Ali Chaibakhsh, Mojtaba Kordestani, Mohsen Derakhshanfar, Mehrdad Saif
Summary: This article presents a robust fault detection and isolation (FDI) method for industrial gas turbines. By utilizing a nonlinear feedforward network and a Takagi-Sugeno fuzzy inference system, the proposed approach efficiently deals with nonlinearity and uncertainty, resulting in accurate fault diagnosis and isolation.
IEEE SENSORS JOURNAL
(2023)
Article
Automation & Control Systems
Zohreh Rostamnezhad, Tahmineh Adili, Milad Moradi Heydarloo, Ali Chaibakhsh, Mojtaba Kordestani, Mehrdad Saif
Summary: In this paper, an intelligent hybrid Industrial Control System (ICS) and a Supervisory Control System (SCS) are proposed to improve the efficiency, safety, availability, and control capabilities of industrial furnaces. The ICS consists of process control systems and advanced control systems, while the SCS is responsible for interfering between different components and making decisions based on the unit status and process conditions. New soft sensors and model-based fault detection systems are developed to estimate the surface temperature and detect faults in the furnace.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Proceedings Paper
Computer Science, Cybernetics
Mehdi Mousavi, Milad Moradi, Ali Chaibakhsh, Mojtaba Kordestani, Mehrdad Saif
2020 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC)
(2020)
Proceedings Paper
Engineering, Electrical & Electronic
Nastaran Khoshnood, Saeed Amirkhani, Amirreza Tootchi, Ali Chaibakhsh
2020 28TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE)
(2020)
Article
Automation & Control Systems
Mehdi Mousavi, Ali Chaibakhsh, Ali Jamali, Mojtaba Kordestani, Mehrdad Saif
Summary: This article introduces a hybrid fault detection and isolation method for condition monitoring of gas turbines, which utilizes nonlinear models and fuzzy inference systems. By modeling bounded uncertainty and using adaptive thresholds, the method improves fault estimation accuracy and reduces false alarm rates. Experimental results demonstrate the superior performance of this method compared to traditional approaches.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Shivani Sharma, Sateesh Kumar Awasthi
Summary: Vehicular Ad-hoc Network (VANET) is crucial in Intelligent Transportation Systems, and this study proposes a hybrid system utilizing V2V and V2I communications for secure data dissemination in urban scenarios.
SIMULATION MODELLING PRACTICE AND THEORY
(2024)
Article
Computer Science, Interdisciplinary Applications
Hind Mikram, Said El Kafhali, Youssef Saadi
Summary: Efficient task scheduling in cloud data centers is crucial for optimizing resource utilization and load balance. This paper introduces a hybrid algorithm, HEPGA, that combines particle swarm optimization (PSO) and genetic algorithm (GA) to allocate tasks efficiently and minimize makespan in cloud computing environments. By integrating PSO, GA, and HEFT-based initialization, the algorithm capitalizes on parallel processing capabilities and adapts to varying priorities to enhance resource utilization. Meticulous analysis of the algorithm's performance, considering both makespan and resource utilization, demonstrates its ability to consistently allocate resources and adapt to different optimization goals.
SIMULATION MODELLING PRACTICE AND THEORY
(2024)
Article
Computer Science, Interdisciplinary Applications
Ping-Chen Chang, Cheng-Fu Huang, Ding-Hsiang Huang
Summary: This paper introduces a novel simulation approach based on minimal cuts to estimate the system reliability of a multistate flow network (MSFN). The approach improves computational efficiency by reducing the number of minimal cuts and preserving saturated minimal cuts. It effectively deals with non-integer demands and demonstrates effectiveness and efficiency in illustrative examples.
SIMULATION MODELLING PRACTICE AND THEORY
(2024)
Article
Computer Science, Interdisciplinary Applications
Jang Won Bae, Chun-Hee Lee, Jeong-Woo Lee, Seon Han Choi
Summary: In this study, a data-driven agent-based model is proposed for simulating the public bicycle-sharing systems (PBSSs) in Sejong City, South Korea. The model captures users' behavioral characteristics and analyzes their convenience through a bottom-up approach. By extracting parameters from actual operational data and demographic information, the model's accuracy is improved. Model simulations evaluate the utilization and user convenience of Eoulling, providing a viable solution for addressing multiple concerns.
SIMULATION MODELLING PRACTICE AND THEORY
(2024)
Article
Computer Science, Interdisciplinary Applications
Chong Shi, Junbao Pian, Cong Zhang, Xiao Chen, Yonggang Zhang
Summary: This study presents a novel numerical simulation method for analyzing the mechanisms of pulsed pressure-induced rock fractures. The results show that rock fracturing under impulsive loading is a combined effect of stress waves and high-pressure fluids, with the fluid penetration and splitting action playing important roles in the process.
SIMULATION MODELLING PRACTICE AND THEORY
(2024)
Article
Computer Science, Interdisciplinary Applications
Junwei Zhang, Zhongwei Chen, Kang Shao
Summary: This study investigated the performance of three constitutive models for rock material in simulation of blast-induced rock cracks, and proposed an optimal blasting parameters design.
SIMULATION MODELLING PRACTICE AND THEORY
(2024)
Article
Computer Science, Interdisciplinary Applications
Joshua Shakya, Chaima Ghribi, Leila Merghem-Boulahia
Summary: Modeling and simulation of telecommunication networks, especially 5G+ networks, have become increasingly important and challenging. Traditional simulation techniques may not be sufficient to capture the dynamic changes in 5G+ networks, leading researchers to adopt an Agent-based modeling and simulation approach from the perspective of Complex System Science. This study provides insights into the advantages, potential, and challenges of Agent-based simulation in the context of 5G+ networks, and proposes a prospective architecture for a simulator and its evolution into a Digital Twin.
SIMULATION MODELLING PRACTICE AND THEORY
(2024)
Article
Computer Science, Interdisciplinary Applications
Sensen Xing, Cheng Wang, Wei Wang, Rui Feng Cao, Anthony Chun Yin Yuen, Eric Wai Ming Lee, Guan Heng Yeoh, Qing Nian Chan
Summary: This paper proposes an extended FFCA model that integrates the natural step length into pedestrian movement, allowing pedestrians to occupy multiple grids and expanding the interaction area. Through simulation of evacuation scenarios, the model accurately reproduces density-velocity relations and matches experimental results. Compared to traditional models, this model generates more reasonable velocity variations and evacuation paths.
SIMULATION MODELLING PRACTICE AND THEORY
(2024)
