ANFIS Approach for Noise Reduction of Lightning Current Online Monitoring System

• Autorzy: Yan N. , Fu Z. , Li J.

Warianty tytułu

PL

ANFIS – nowa metoda redukcji szumów w systemach monitorowania prądu wyładowań

• Języki publikacji: EN

Abstrakty

EN

A novel de-noising algorithm, based on adaptive neural-fuzzy inference system (ANFIS) is proposed for noise reduction of the lightning current online monitoring system. The paper presents the theory and the implement procedure of the fuzzy neural system. Comparisons among the traditional strategies, such as curve fitting (CF), wavelet transform (WT) methods and the proposed ANFIS strategy are carried out. The simulation results demonstrate the superiority of the proposed method. Moreover, the employed approach has been tested on the practical measured current of lightning current online monitoring system. The testing results validate the proposed approach.

PL

Zaproponowano nowy algorytm odszumiania bazujący na adaptacyjnym neuro-fuzzy systemie interferencji ANFIS. System zastosowano przy monitorowaniu prądu wyładowań. System porównano z innymi dotychczas stosowanymi – dopasowanie krzywej czy transformata falkowa.

Słowa kluczowe

EN

lightning current online monitoring system; denoise; ANFIS; curve fitting; wavelet transform

PL

prąd wyładowań; odszumianie; ANFIS

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2012
• Tom: R. 88, nr 7a
• Strony: 108--112
• Opis fizyczny: Bibliogr. 18 poz., schem., tab., wykr

Twórcy

autor

Yan N.

autor

Fu Z.

autor

Li J.

• High Voltage Center of Shanghai Jiao Tong University, No.1954, Huashan Road, Shanghai, 200030, China,

Bibliografia

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