| |  | Bi, D. Q. | Correlation Analysis of Waveforms in Nonsaturation Zone-Based Method to Identify the Magnetizing Inrush in Transformer read moreAbstract: A novel algorithm based on the correlation analysis of waveforms to distinguish between the magnetizing inrush and the short-circuit fault current is proposed. The algorithm makes use of the characteristics of differential current waveform in the nonsaturation zone that it is similar to a part of the sinusoidal wave under the short-circuit fault and far different with the sinusoid under the inrush condition. To realize this algorithm, the nonsaturation zone of the transformer is decided by comparing the algebraic sum of sampling data in a short slide window of the differential current under the magnetizing inrush or the short-circuit fault, then two kinds of normal sinusoidal waveforms are structured according to the value and position of the peak point of differential current in the nonsaturation zone. The correlation coefficients between the original waveform and two structured sinusoidal waveforms are calculated, and the magnetizing inrush or fault current is judged according to the average of two correlation coefficients. The experimental results verify that the algorithm can correctly open the differential protection shortly for the internal short-circuit fault in operation, energized with a turn-to-turn short-circuit fault, reliably blocking the protection during the magnetizing inrush, and obtaining good immunity to the saturation of the current transformer. Low computation and requirements contributing to this algorithm are performed in practice.  This article is not yet tagged | 2007 |
| | | Wang, X. H. | Ontology based context modeling and reasoning using OWL read moreAbstract: Here we propose an OWL encoded context ontology (CONON) for modeling context in pervasive computing environments, and for supporting logic-based context reasoning. CONON provides an upper context ontology that captures general concepts about basic context, and also provides extensibility for adding domain-specific ontology in a hierarchical manner. Based on this context ontology, we have studied the use of logic reasoning to check the consistency of context information, and to reason over low-level, explicit context to derive high-level, implicit context. By giving a performance study for our prototype, we quantitatively evaluate the feasibility of logic based context reasoning for nontime-critical applications in pervasive computing environments, where we always have to deal carefully with the limitation of computational resources. This article is not yet tagged | 2004 |
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