Ash Accumulation State Identification for Infrared Compensation Images of Air Preheater Rotor Based on Deep Learning Method
Power Generation and Environmental Protection|更新时间:2025-06-06
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Ash Accumulation State Identification for Infrared Compensation Images of Air Preheater Rotor Based on Deep Learning Method
“In the field of large-scale power plant boilers, experts have proposed a deep learning based method for analyzing dust accumulation in air preheater rotors, which effectively detects the degree of dust accumulation, predicts the possibility of blockage, and provides guidance for optimizing the operation of soot blowing systems.”
Power Generation TechnologyVol. 43, Issue 3, Pages: 510-517(2022)
作者机构:
1.东方电气集团东方锅炉股份有限公司,四川省 成都市 611731
2.西安理工大学自动化与信息工程学院,陕西省 西安市 710048
作者简介:
基金信息:
National Key Research & Development Program of China(2018YFB1703000);Research Program of Shaanxi Modern Equipment Green Manufacturing Co-innovation Center(304-210891702)
LIU Jun,DEND Yi,YANG Yanxi,et al.Ash Accumulation State Identification for Infrared Compensation Images of Air Preheater Rotor Based on Deep Learning Method[J].Power Generation Technology,2022,43(03):510-517.
LIU Jun,DEND Yi,YANG Yanxi,et al.Ash Accumulation State Identification for Infrared Compensation Images of Air Preheater Rotor Based on Deep Learning Method[J].Power Generation Technology,2022,43(03):510-517. DOI: 10.12096/j.2096-4528.pgt.20122.
Ash Accumulation State Identification for Infrared Compensation Images of Air Preheater Rotor Based on Deep Learning Method