Suchergebnisse - PQ detection algorithm

Maximal overlap discrete wavelet transform and deep learning for robust denoising and detection of power quality disturbance von Xiao, Fei, Lu, Tianguang, Wu, Mingli, Ai, Qian

“… A maximal overlap discrete wavelet transform-based PQ detection algorithm is proposed to provide accurate points of disturbance initiation and recovery …”
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Hybrid algorithm for directly detecting and classification of multiple power quality disturbances von Altintasi, Cagri

“… ) algorithm is introduced for the detection and classification of PQ events. A hybrid algorithm is developed to improve the early convergence of the AHA algorithm by expanding the search to avoid local minima …”
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Power quality event detection and classification using wavelet-alienation based scheme von Rathore, Bhuvnesh, Raghav, Anil Kumar, Soni, Ravi

“… •Novel Algorithm Development: Introduction of a Wavelet-Alienation-Neural algorithm for swift detection and classification of PQ events …”
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A power quality detection and classification algorithm based on FDST and hyper-parameter tuned light-GBM using memetic firefly algorithm von Panigrahi, Rasmi Ranjan, Mishra, Manohar, Nayak, Janmenjoy, Shanmuganathan, Vimal, Naik, Bighnaraj, Jung, Young-Ae

“… •PQ disturbances (PQDs) detection and classification using FDST and LightGBM (LGBM)•The hyper-parameters of LGBM are optimized through memetic firefly algorithm …”
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Super-efficient detector and defense method for adversarial attacks in power quality classification von Zhang, Liangheng, Jiang, Congmei, Pang, Aiping, He, Yu

“… At present, there are few studies on defense algorithms for adversarial attacks in PQ classification …”
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Detection and Classification of Power Quality Disturbances Using Double Resolution S-Transform and DAG-SVMs von Li, Jianmin, Teng, Zhaosheng, Tang, Qiu, Song, Junhao

“… This paper presents a new algorithm for detection and classification of PQ disturbances based on the combination of double-resolution S-transform (DRST …”
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A hybrid approach for power quality event identification in power systems: Elasticnet Regression decomposition and optimized probabilistic neural networks von Samanta, Indu Sekhar, Rout, Pravat Kumar, Swain, Kunjabihari, Cherukuri, Murthy, Panda, Subhasis, Bajaj, Mohit, Blazek, Vojtech, Prokop, Lukas, Misak, Stanislav

“… In this regard, a hybrid algorithm is proposed for PQ events detection and classification using Elasticnet Regression-based Variational Mode Decomposition (ER-VMD …”
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Recognition of Power Quality Issues Associated With Grid Integrated Solar Photovoltaic Plant in Experimental Framework von Mahela, Om Prakash, Shaik, Abdul Gafoor, Gupta, Neeraj, Khosravy, Mahdi, Khan, Baseem, Alhelou, Hassan Haes, Padmanaban, Sanjeevikumar

“… Enhancement in solar energy (SE) injection into the power system network creates power quality (PQ …”
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FDST-based PQ event detection and energy metering implementation on FPGA-in-the-loop and NI-LabVIEW von Jaiswal, Supriya, Ballal, Makarand S

“… ) with automatic scaling for accurate PQ-event detection (ED) and energy metering. Comparative analysis of FDST-based energy-metering algorithm is carried out with existing algorithms such as fast Fourier transform and filter-based design …”
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Power Quality Detection and Categorization Algorithm Actuated by Multiple Signal Processing Techniques and Rule-Based Decision Tree von Singh, Surendra, Sharma, Avdhesh, Garg, Akhil Ranjan, Mahela, Om Prakash, Khan, Baseem, Boulkaibet, Ilyes, Neji, Bilel, Ali, Ahmed, Brito Ballester, Julien

“… This paper introduces a power quality (PQ) detection and categorization algorithm actuated by multiple signal processing techniques and rule-based decision tree (RBDT …”
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Detection and characterization of multiple power quality disturbances with a fast S-transform and decision tree based classifier von Biswal, Milan, Dash, P.K.

“… A generalized window function is introduced to improve the energy concentration of the time–frequency (TF) distribution. An application of the proposed algorithms is extended for detection and classification of various nonstationary power quality …”
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Machine Learning-Based Adaline Neural PQ Strategy For A Photovoltaic Integrated Shunt Active Power Filter von Jai, Asmae Azzam, Ouassaid, Mohammed

“… P&O algorithm ensures a high MPPT accuracy. The second purpose is to upgrade harmonics detection by exploiting the characteristics of intelligent learning of Adaline combined with ML algorithm …”
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A Comprehensive Review of Deep-Learning Applications to Power Quality Analysis von Samanta, Indu Sekhar, Panda, Subhasis, Rout, Pravat Kumar, Bajaj, Mohit, Piecha, Marian, Blazek, Vojtech, Prokop, Lukas

“… Power quality (PQ) monitoring and detection has emerged as an essential requirement due to the proliferation of sensitive power electronic interfacing devices, electric vehicle charging stations, energy storage devices …”
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Detection of generated and measured transient power quality events using Teager Energy Operator von Subasi, Abdulhamit, Yilmaz, A. Serdar, Tufan, Kadir

“… ► Proposed method has a simple and faster algorithm and it is robust in detecting PQ disturbances …”
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Detecting unstable periodic orbits in chaotic systems by using an efficient algorithm von Bu, Shouliang, Wang, Bing-Hong, Jiang, Pin-Qun

“… In this paper, we present an efficient algorithm for computing UPOs. It can be applied to any finite dimensional chaotic systems including hyperchaotic systems …”
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Real-Time Implementation of Signal Processing Techniques for Disturbances Detection von Singh, H. Rupal, Mohanty, Soumya R., Kishor, Nand, Thakur, K. Ankit

“… ) system using signal processing algorithms are still at a premature stage. Quick and reliable detection of islanding and PQ disturbances needs renewed focus …”
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Detection and Classification of Complex Power Quality Disturbances Using Hybrid Algorithm Based on Combined Features of Stockwell Transform and Hilbert Transform von Pandya, Vishakha, Choudhary, Ravi Raj, Prakash Mahela, Om, Choudhary, Sunita

“… This algorithm is robust to be incorporated in online PQ monitoring equipments. Effectiveness of proposed algorithm has been established for detecting and classifying the different nature of complex nature PQ disturbances …”
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Power-quality disturbance recognition based on time-frequency analysis and decision tree von Zhong, Tie, Zhang, Shuo, Cai, Guowei, Huang, Nantian

“… This study presents a novel PQ disturbance-recognition algorithm, based on time-frequency (TF) analysis and a decision tree …”
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Combined VMD-SVM based feature selection method for classification of power quality events von Abdoos, Ali Akbar, Khorshidian Mianaei, Peyman, Rayatpanah Ghadikolaei, Mostafa

“… In this paper, a new hybrid algorithm is presented for PQ disturbances detection in electrical power systems …”
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Detection and classification of single and combined power quality disturbances using fuzzy systems oriented by particle swarm optimization algorithm von Hooshmand, R., Enshaee, A.

“… In this paper, a new approach for the detection and classification of single and combined power quality (PQ …”
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