Infrared Thermal Image Fault Detection of Electric Motor Based on Improved VGG16 Network Model

• Published in: International Conference on Communications, Information System and Computer Engineering (Online) pp. 856 - 862
• Main Authors: Zhu, Xianghua, Hu, Shan, Bing, Zhigang, Zhao, Di
• Format: Conference Proceeding
• Language: English
• Published: IEEE 10.05.2024
• Subjects: Accuracy; AdamW; Fault detection; Focus loss; Induction motors; motor infrared thermal image; Performance evaluation; Stator windings; Thermal engineering; Training; Transfer learning; VGG16

As a core component of modern industry, electric motors are widely used in important fields such as electric power, machinery and national defense, and the fault detection of their thermal images faces problems such as diverse fault types, insufficient complex data processing capability and long tra...