Research on Predictive Maintenance Mode of Air Preheater Based on Digital Twin
Power Generation and Environmental Protection|更新时间:2025-06-15
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Research on Predictive Maintenance Mode of Air Preheater Based on Digital Twin
“In the field of thermal power, experts have proposed a predictive maintenance mode for air preheaters based on digital twins, which effectively improves operation and maintenance efficiency and provides technical support for the construction of smart power plants.”
Power Generation TechnologyVol. 45, Issue 4, Pages: 622-632(2024)
作者机构:
1.国能寿光发电有限责任公司,山东省 寿光市 262714
2.东方电气集团东方锅炉股份有限公司,四川省 成都市 611731
3.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 Natural Science Foundation of China(62273274;62003261)
LIU Wang,CHEN Lian,GONG Gaoyang,et al.Research on Predictive Maintenance Mode of Air Preheater Based on Digital Twin[J].Power Generation Technology,2024,45(04):622-632.
LIU Wang,CHEN Lian,GONG Gaoyang,et al.Research on Predictive Maintenance Mode of Air Preheater Based on Digital Twin[J].Power Generation Technology,2024,45(04):622-632. DOI: 10.12096/j.2096-4528.pgt.23054.
Research on Predictive Maintenance Mode of Air Preheater Based on Digital Twin
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Analysis on Peak Regulation Characteristics of Thermal Power Units With Integrated Heat Storage Device
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Review of Research on the Digitalization of Power Generation System
Pressure Difference Prediction of Air Preheater in Coal-Fired Power Plant Based on BP Neural Network and Support Vector Regression
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