Research on fault diagnosis of supercharged boiler with limited data based on few-shot learning

• Published in: Energy (Oxford) Vol. 281; p. 128286
• Main Authors: Li, Guolong, Li, Yanjun, Fang, Chengyue, Su, Jian, Wang, Haotong, Sun, Shengdi, Zhang, Guolei, Shi, Jianxin
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 15.10.2023
• Subjects: Fault diagnosis; Few-shot learning; SNN; Supercharged boiler; Variable screening; Fault diagnosis; Variable screening; SNN; Few-shot learning; Supercharged boiler

The safety of the supercharged boiler affects the normal operation of the steam power system, while its fault samples are few and contain large noise in reality. Therefore, we propose a few-shot fault diagnosis framework for supercharged boilers based on Siamese Neural Network(SNN). The variable ana...