87 publication(s) trouvée(s)
Article scientifique
Nonlinear observer-based fault diagnosis in photovoltaic systems integrated with voltage source converters using an extended Kalman filter
With the rapid penetration of renewable generation, the stability and operability of photovoltaic (PV) systems increasingly depend on reliable fault …
Article scientifique
Combined rotor faults diagnosis in induction motors using MVSA and Intra-Mode Variational Modal Decomposition (IM-VMD)
In modern industry, constant production and operation without stoppages is viewed as being vital in ensuring competitiveness and efficiency.To maintain …
Article scientifique
A residual current-based indicator for early detection of stator winding faults in synchronous reluctance machines
The early identification of inter-turn short-circuit faults (ITSCFs) in electrical machines has become a priority due to their detrimental influence …
Article scientifique
Power enhancement using grey wolf optimizer algorithm for doubly fed induction generator based on fuzzy logic controller
The present article investigates innovative control technique for wind energy conversion systems using doubly fed induction generators, accentuating the limitations …
Article scientifique
Performance comparison of classical and fuzzy logic MPPT techniques under sudden irradiation variations and their hardware implementation
This study presents the simulation and experimental implementation of two distinct categories of Maximum Power Point Tracking (MPPT) algorithms aimed …
Article scientifique
Analysis and fault diagnosis in point absorber wave energy conversion systems using fault tree and Bayesian networks
This paper presents a comprehensive analysis and fault diagnosis approach for wave energy conversion (WEC) systems, specifically focusing on point …
Article scientifique
Νew approach to power system stabilizer optimization techniques
Power System Stabilizers (PSS) are control devices used in synchronous generators to enhance the stability and damping of power systems …
Article scientifique
Detection and classification of air gap eccentricity fault in Induction machine using artificial intelligence techniques
This paper employs artificial intelligence to diagnose induction machine health by detecting air gap eccentricity under varied conditions.It addresses Model-Based …
Article scientifique
Parkinson’s disease detection through hand drawings using Alexnet model
Innovative methods based on deep learning and different types of data are very useful in diagnosing Parkinson's disease.Through this research, …
Article scientifique
Influence of composite materials on the electric field distribution of a high voltage cable
Our significant contribution is to bring improvements to the level of existing formulations for the different layers of high-voltage underground …
Article scientifique
Diagnosis of bearing faults in wind turbine systems using vibrational signal processing and machine learning
This study employs an integrated methodology for the analysis and diagnosis of bearing faults in rotating machinery and wind turbine …
Article scientifique
Fault tolerant control and fault diagnosis methods integrated using intelligent controller for hybrid dynamic systems
This research aims to provide a fault diagnosis approach for Hybrid Dynamic (SDHs), Systems and Fault-Tolerant Control synthesis, while also …
Article scientifique
New method for bearing fault diagnosis based on variational mode decomposition technique
Variational Mode Decomposition (VMD) is a useful tool for decomposing complex multi-component signals.However, one major drawback of VMD is the …
Article scientifique
A new hybrid approach based on probability distribution and an improved machine learning for multivariate risk assessment
A highly complex dynamic non-linear reactor is the blast furnace iron manufacturing system.It has possible dangers, including carbon monoxide, wide …
Article scientifique
Testing and diagnostic out of the service power transformer using a sweep frequency response analysis (SFRA) comparing with China standard
A several diagnostic methods used to evaluate and detect any potential issues or faults in the transformer before they cause …
Article scientifique
Novel diabetes classification approach based on CNN-LSTM: Enhanced performance and accuracy
This paper deals with the development of an approach for diabetes classification harnessing Convolutional-Neural-network (CNN) and a Long-Short-Term-Memory (LSTM) model.The …
Article scientifique
Magnetic pollution produced by underground XLPE 220 kV power cable in power plant
The expansion of the electrical network necessitates the construction of new power plants and the extension of overhead and underground …
Article scientifique
Self-adaptive fault-tolerant control strategy of shunt active power filter based on multicellular converter
The use of multicellular topology in power quality enhancement can reduce the power loss and also dv/dt of power switches, …
Article scientifique
A novel Parkinson's disease detection algorithm combined EMD, BFCC, and SVM classifier
Identifying and assessing Parkinson's disease in its early stages is critical to effectively monitoring the disease's progression.Methodologies based on machine …
Article scientifique
Reliable energy supply and voltage control for hybrid microgrid by pid controlled with integrating of an EV charging station
The integration of an electric vehicle (EV) charging station into the DC-microgrid requires management control of the energy supply and …
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