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Matching various types of disturbances helps to accurately assess the stress imposed on load and electrical network itself. Electrical equipment susceptibility to disturbances varies significantly from type to type. Additionally, not only one physical phenomenon (e.g. harmonics) can cause equipment malfunctioning or damage, but more likely a superposition of some different disturbances. On the contrary,...
This paper presents a neural network and neuro-fuzzy approach to power quality assessment. Electrical equipment susceptibility to disturbances varies from type to type. Additionally, not only one physical phenomenon (e.g. harmonics) can cause equipment malfunctioning or damage, but more likely a superposition of some different disturbances. On the contrary, some disturbance levels higher than indicated...
This paper presents a neuro-fuzzy approach to power quality assessment. From the end user perspective it is important, that power quality indicia are held in certain limits. However, electrical equipment susceptibility to disturbances varies from type to type. Additionally, not only one physical phenomenon (e.g. harmonics) can cause equipment malfunctioning or damage, but more likely a superposition...
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