基于改进SSD的电力设备红外图像异常自动检测方法

doi:10.19595/j.cnki.1000-6753.tces.L80426

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Abstract 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+”.

Key words： Power equipment anomaly detection infrared image single shot multibox detection intelligent inspection

Received: 30 June 2018 Published: 05 March 2020

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	Articles by authors
	Wang Xuhong
	Li Hao
	Fan Shaosheng
	Jiang Zhipeng

Cite this article:

Wang Xuhong,Li Hao,Fan Shaosheng等. Infrared Image Anomaly Automatic Detection Method for Power Equipment Based on Improved Single Shot Multi Box Detection[J]. Transactions of China Electrotechnical Society, 2020, 35(zk1): 302-310.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.L80426 OR https://dgjsxb.ces-transaction.com/EN/Y2020/V35/Izk1/302

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