Power quality disturbances recognition using adaptive chirp mode pursuit and grasshopper optimized support vector machines
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Title
Power quality disturbances recognition using adaptive chirp mode pursuit and grasshopper optimized support vector machines
Authors
Keywords
Power quality disturbances recognition, adaptive chirp mode pursuit (ACMP), support vector machine (SVM), Grasshopper optimization algorithm, Machine learning
Journal
MEASUREMENT
Volume 168, Issue -, Pages 108461
Publisher
Elsevier BV
Online
2020-09-20
DOI
10.1016/j.measurement.2020.108461
References
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- (2018) Motakatla Venkateswara Reddy et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
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- (2018) Tatiana Chakravorti et al. IET Signal Processing
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- (2018) Sadegh Jamali et al. MEASUREMENT
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- (2018) Eduardo G. Ribeiro et al. MEASUREMENT
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- (2018) Mrutyunjaya Sahani et al. NEUROCOMPUTING
- Feature selection in machine learning: A new perspective
- (2018) Jie Cai et al. NEUROCOMPUTING
- Simultaneous Feature Selection and Support Vector Machine Optimization Using the Grasshopper Optimization Algorithm
- (2018) Ibrahim Aljarah et al. Cognitive Computation
- Variational Mode Decomposition and Decision Tree Based Detection and Classification of Power Quality Disturbances in Grid-Connected Distributed Generation System
- (2018) Pankaj D. Achlerkar et al. IEEE Transactions on Smart Grid
- A new optimal feature selection scheme for classification of power quality disturbances based on ant colony framework
- (2018) Utkarsh Singh et al. APPLIED SOFT COMPUTING
- An improved adaptive filtering approach for power quality analysis of time-varying waveforms
- (2018) Karthik Thirumala et al. MEASUREMENT
- Adaptive chirp mode pursuit: Algorithm and applications
- (2018) Shiqian Chen et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Detection of rub-impact fault for rotor-stator systems: A novel method based on adaptive chirp mode decomposition
- (2018) Shiqian Chen et al. JOURNAL OF SOUND AND VIBRATION
- Nonlinear Chirp Mode Decomposition: A Variational Method
- (2017) Shiqian Chen et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Application of fractional Fourier transform for classification of power quality disturbances
- (2017) Utkarsh Singh et al. IET Science Measurement & Technology
- Detection and classification of power quality disturbances based on time–frequency-scale transform
- (2017) Utkarsh Singh et al. IET Science Measurement & Technology
- A new optimal feature selection algorithm for classification of power quality disturbances using discrete wavelet transform and probabilistic neural network
- (2017) Suhail Khokhar et al. MEASUREMENT
- Smart sensor network for power quality monitoring in electrical installations
- (2017) Luis Morales-Velazquez et al. MEASUREMENT
- Combined VMD-SVM based feature selection method for classification of power quality events
- (2016) Ali Akbar Abdoos et al. APPLIED SOFT COMPUTING
- Modified S transform and ELM algorithms and their applications in power quality analysis
- (2016) Shuqing Zhang et al. NEUROCOMPUTING
- An effective Power Quality classifier using Wavelet Transform and Support Vector Machines
- (2015) D. De Yong et al. EXPERT SYSTEMS WITH APPLICATIONS
- Cross-Spectrum Analysis-Based Scheme for Multiple Power Quality Disturbance Sensing Device
- (2015) Sovan Dalai et al. IEEE SENSORS JOURNAL
- Recognition of Power-Quality Disturbances Using S-Transform-Based ANN Classifier and Rule-Based Decision Tree
- (2015) Raj Kumar et al. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
- Variational Mode Decomposition
- (2014) Konstantin Dragomiretskiy et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- New automated power quality recognition system for online/offline monitoring
- (2013) Mahdi Hajian et al. NEUROCOMPUTING
- Optimal Feature Selection for Power-Quality Disturbances Classification
- (2011) Chun-Yao Lee et al. IEEE TRANSACTIONS ON POWER DELIVERY
- A real-time classification method of power quality disturbances
- (2010) Ming Zhang et al. ELECTRIC POWER SYSTEMS RESEARCH
- Detection and Classification of Power Quality Disturbances Using Wavelet Transform and Support Vector Machines
- (2009) Z. Moravej et al. ELECTRIC POWER COMPONENTS AND SYSTEMS
- Empirical-Mode Decomposition With Hilbert Transform for Power-Quality Assessment
- (2009) Stuti Shukla et al. IEEE TRANSACTIONS ON POWER DELIVERY
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