Infrared Image Anomaly Automatic Detection Method for Power Equipment Based on Improved Single Shot Multi Box Detection

被引：0
|
作者：
Wang X. [1 ]
Li H. [1 ]
Fan S. [1 ]
Jiang Z. [1 ]
机构：
[1] College of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha
来源：
Diangong Jishu Xuebao/Transactions of China Electrotechnical Society | 2020年 / 35卷
关键词：
Infrared image; Intelligent inspection; Power equipment anomaly detection; Single shot multibox detection;
D O I：
10.19595/j.cnki.1000-6753.tces.L80426
中图分类号：
学科分类号：
摘要：
In order to realize automatic detection of infrared images collected by infrared thermal imaging cameras carried by intelligent power inspection equipment such as various inspection robots and drones, an automatic detection method for infrared image anomalies of power equipment based on improved SSD is proposed. The infrared image of the typical faulty power equipment collected is uniformly preprocessed; the power equipment and the abnormal area are marked and a standard data set is created; the detection network is built; the data and the pre-training model are read into the established network for fine-tuning training verification, and the final model file is obtained. test. Experiments show that the method has high generalization and high accuracy; it can achieve the effect of real-time automatic detection of many types of typical power equipment under infrared images and locate abnormal heating areas, which will make the existing power inspection equipment “smart+”. © 2019, Electrical Technology Press Co. Ltd. All right reserved.
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页码：302 / 310
页数：8
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