An Ensemble Application of Conflict-Resolving ART-Based Neural Networks to Fault Detection and Diagnosis

Accurate fault detection and diagnosis is important for secure and profitable operation of modern power systems. In this paper, an ensemble of conflict-resolving Fuzzy ARTMAP classifiers, known as Probabilistic Multiple Fuzzy ARTMAP with Dynamic Decay Adjustment （PMFAMDDA）, for accurate discriminati...

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Veröffentlicht in:	测试科学与仪器 2011, Vol.2 (4), p.371-377
1. Verfasser:	Shing-chiang TAN Chee-peng LIM
Format:	Artikel
Sprache:	eng
Schlagworte:	应用 故障检测 模糊ARTMAP 电力系统 电厂循环水 神经网络 艺术 诊断
Online-Zugang:	Volltext
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