Adaptive neuro-fuzzy inference system based total demand distortion factor for power quality evaluation

Neurocomputing

Volumn 73, Issue 1-3, 2009, Pages 315-323

  Rathina Prabha, N ^a   Marimuthu, N S ^b   Babulal, C K ^c  

^a MEPCO SCHLENK ENGINEERING COLLEGE   (India)

^b NATIONAL ENGINEERING COLLEGE   (India)

^c THIAGARAJAR COLLEGE OF ENGINEERING   (India)

Author keywords

ANFIS; Fuzzy logic; Harmonics; Power quality (PQ); Total demand distortion (TDD)

Indexed keywords

ACCEPTABLE LIMIT; ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ANFIS; CURRENT WAVEFORMS; DISTORTION FACTOR; HARMONICS; KNOWLEDGE BASE; MITIGATION TECHNIQUES; NON-SINUSOIDAL; POWER QUALITY EVALUATION; SHORT CIRCUIT; SINUSOIDAL WAVE; TOTAL DEMAND DISTORTION (TDD); WAVE FORMS;

COST BENEFIT ANALYSIS; ELECTRIC MEASURING INSTRUMENTS; FUZZY INFERENCE; FUZZY SETS; HARMONIC ANALYSIS; KNOWLEDGE BASED SYSTEMS; POWER QUALITY; TIME DIVISION MULTIPLEXING; WELDS;

QUALITY CONTROL;

ARTICLE; CONTROLLED STUDY; COST BENEFIT ANALYSIS; FUZZY SYSTEM; LEARNING ALGORITHM; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; POWER SUPPLY; PRIORITY JOURNAL; QUALITY CONTROL; QUANTITATIVE ANALYSIS; WAVEFORM;

EID: 70350726188     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2009.08.015     Document Type: Article

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