TY - JOUR
AU - Tan, Shulin
AB - Lightning protection component is used to display the working condition of railway cable networks. Lightning strike damage cable networks, hence, the research of detection method for railway lightning protection is of great importance. So far, there are limited methods to solve this problem. Existing methods are based on electrical and magnetic signals. However, these method can not meet the acquirement of speed and accuracy. In this paper, we proposed a accurate and fast detection method for railway lightning protection component. The proposed method is based on deep neural network named W-YOLO. To solve the imbalanced samples problem of fault components and common components, we devised a novel classification loss function according to the proportion components. Since the raw class and location coordinate of components are lack of meaning, a sorting method of elements based on the angel and distance threshold is proposed. From the experiments, the proposed detection method is able to detect railway lightning protection component accurately in real time.
TI - An accurate and fast detection method for railway lightning protection component
JF - IOP Conference Series: Materials Science and Engineering
DO - 10.1088/1757-899X/792/1/012010
DA - 2020-03-01
UR - https://www.deepdyve.com/lp/iop-publishing/an-accurate-and-fast-detection-method-for-railway-lightning-protection-Yg8PwQGPK1
SP - 012010
VL - 792
IS - 1
DP - DeepDyve
ER -