[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Lazzaretti et al., 2016 - Google Patents

Novelty detection and multi-class classification in power distribution voltage waveforms

Lazzaretti et al., 2016

View PDF
Document ID
2140801853029403717
Author
Lazzaretti A
Tax D
Neto H
Ferreira V
Publication year
Publication venue
Expert Systems with Applications

External Links

Snippet

The automatic analysis of electrical waveforms is a recurring subject in the power system sector worldwide. In this sense, the idea of this paper is to present an original approach for automatic classification of voltage waveforms in electrical distribution networks. It includes …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6279—Classification techniques relating to the number of classes
    • G06K9/6284—Single class perspective, e.g. one-against-all classification; Novelty detection; Outlier detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/68—Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6288—Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion
    • G06K9/629—Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion of extracted features
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00771—Recognising scenes under surveillance, e.g. with Markovian modelling of scene activity
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30705—Clustering or classification
    • G06F17/3071—Clustering or classification including class or cluster creation or modification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass

Similar Documents

Publication Publication Date Title
Lazzaretti et al. Novelty detection and multi-class classification in power distribution voltage waveforms
Chen et al. Fault location in power distribution systems via deep graph convolutional networks
Ray et al. Support vector machine based fault classification and location of a long transmission line
James et al. Intelligent fault detection scheme for microgrids with wavelet-based deep neural networks
Chen et al. A framework for automatically extracting overvoltage features based on sparse autoencoder
Chen et al. Detection and classification of transmission line faults based on unsupervised feature learning and convolutional sparse autoencoder
Sarlak et al. High impedance fault detection using combination of multi-layer perceptron neural networks based on multi-resolution morphological gradient features of current waveform
Xiong et al. Incipient fault identification in power distribution systems via human-level concept learning
Zhang et al. Transmission line boundary protection using wavelet transform and neural network
Xiao et al. Maximal overlap discrete wavelet transform and deep learning for robust denoising and detection of power quality disturbance
Tripathy Power transformer differential protection using neural network principal component analysis and radial basis function neural network
Biswal et al. Nonstationary power signal time series data classification using LVQ classifier
Zhu et al. Networked time series shapelet learning for power system transient stability assessment
Magagula et al. A fault classification and localization method in a power distribution network
Zhao et al. Interpretation of transformer winding deformation fault by the spectral clustering of FRA signature
CN111999591B (en) Method for identifying abnormal state of primary equipment of power distribution network
Moloi et al. High impedance fault detection technique based on Discrete Wavelet Transform and support vector machine in power distribution networks
Yang et al. Fa-Mb-ResNet for grounding fault identification and line selection in the distribution networks
Venkatesh Fault classification and location identification on electrical transmission network based on machine learning methods
Mohammadi et al. Using deep transfer learning technique to protect electrical distribution systems against high-impedance faults
Wang et al. Wavelet transform‐based feature extraction for detection and classification of disturbances in an islanded micro‐grid
Tang et al. Classification for transient overvoltages in offshore wind farms based on sparse decomposition
Fuentes-Velazquez et al. A fast automatic detection and classification of voltage magnitude anomalies in distribution network systems using PMU data
Lazzaretti et al. An integrated monitoring system and automatic data analysis to correlate lightning activity and faults on distribution networks
Afrasiabi et al. Differential protection of power transformers based on RSLVQ-gradient approach considering SFCL