Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference (한국전기전자재료학회:학술대회논문집)
- 2002.07b
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- Pages.1097-1102
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- 2002
Propagation Neural Networks based on vision techniques for detecting of Faulty Insulator
불량애자 검출을 위한 비젼 기반 전파 신경망
Abstract
For detecting of Faulty Insulator, a new Lateral Information Propagation Networks (LIPN) has been proposed. Energized insulator is reduced the rate of insulation extremely, and taken the results dirty and injured. It is necessary to be actions that detect the faulty insulator and exchange the new one. And thus, we have designed the LIPN to be detected that insulators by the real time computation method through the inter-node diffusion. In the network, a node corresponds to a state in the quantized input space. Each node is composed of a processing unit and fixed weights from its neighbor nodes as well as its input terminal. Information propagates among neighbor nodes laterally and inter-node interpolation is achieved. Through several simulation experiments,real time reconstruction of the nonlinear image information is processed.
Keywords
- Faulty Insulator;
- Lateral Information Propagation Networks(LIPN);
- inter-node interpolation;
- reconstruction of the nonlinear information