Overheating Defect Detection of Composite Insulator Based on Mask R-CNN

Overheating Defect Detection of Composite Insulator Based on Mask R-CNN

Aiming at the problems of large workload and low intelligence of the current infrared image-based overheating defect detection techniques for composite insulators, and the poor accuracy and poor generalization performance of the traditional image segmentation methods in complex backgrounds, an overh...

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Bibliographic Details
Main Authors: Yi GAO, Lianfang TIAN, Qiliang DU
Format: Article
Language:zho
Published: State Grid Energy Research Institute 2021-01-01
Series:Zhongguo dianli
Subjects:
image detection
mask r-cnn
cascade r-cnn
transfer learning
composite insulator
infrared image
overheating defect
Online Access:https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202003145
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https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202003145

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