Miaoyiquan Wang
ABSTRACT
In order to solve the problem of power line fault detection, we proposed to introduce convolutional neural network (CNN) into the field of power line fault detection. In this paper, we describe a novel detection method which combines the sliding window approach and the output map information. Our algorithm can be divide into three steps. The first step uses CNN combined with sliding window approach to make predictions of all part of input image and achieves the output map. In the second step, the output map is preprocessed to make it more conducive to localization. Finally, object detection is accomplished according to the information of the preprocessed output map. Experimental results show that our algorithm can effectively solve the problem of power line fault detection in complex background.
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Index Terms
- Fault Detection for Power Line Based on Convolution Neural Network
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