New automated power quality recognition system for online/offline monitoring

Neurocomputing

Volumn 128, Issue , 2014, Pages 389-406

  Hajian, Mahdi ^a   Akbari Foroud, Asghar ^a   Abdoos, Ali Akbar ^b  

^a SEMNAN UNIVERSITY   (Iran)

^b BABOL NOSHIRVANI UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Data mining; Discrete wavelet transform; Feature selection; Hyperbolic S transform; Online offline power quality monitoring; Pattern recognition

Indexed keywords

CLASSIFICATION METHODS; COMPARATIVE ASSESSMENT; COMPUTATIONAL EXECUTION TIME; HYPERBOLIC S TRANSFORMS; POWER QUALITY DISTURBANCES; POWER QUALITY MONITORING; SEQUENTIAL FORWARD SELECTION; TIME-FREQUENCY RESOLUTION;

DATA MINING; DISCRETE WAVELET TRANSFORMS; FEATURE EXTRACTION; PARTICLE SWARM OPTIMIZATION (PSO); PATTERN RECOGNITION;

STRUCTURAL OPTIMIZATION;

ALGORITHM; ARTICLE; AUTOMATION; CALCULATION; CONTROLLED STUDY; DATA ANALYSIS; OFFLINE MONITORING; ONLINE MONITORING; POWER QUALITY DISTURBANCE; POWER SUPPLY; PRIORITY JOURNAL; PROCESS MONITORING; PROCESS OPTIMIZATION; SIMULATION; SUPPORT VECTOR MACHINE;

EID: 84893678125     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2013.08.026     Document Type: Article

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