Power Generation Technology ›› 2024, Vol. 45 ›› Issue (4): 622-632.DOI: 10.12096/j.2096-4528.pgt.23054
• Power Generation and Environmental Protection • Previous Articles Next Articles
Wang LIU1, Lian CHEN1, Gaoyang GONG2, Zhihua LI1, Wenhua XUE1, Jingang SHI1, Jun XIE1, Leilei LI1, Rongcai YAO1, Zhaopeng WANG1, Yanxi YANG3, Yi DENG3, Chenhui ZHANG3
Received:
2023-04-28
Revised:
2023-08-29
Published:
2024-08-31
Online:
2024-08-27
Contact:
Yanxi YANG
Supported by:
CLC Number:
Wang LIU, Lian CHEN, Gaoyang GONG, Zhihua LI, Wenhua XUE, Jingang SHI, Jun XIE, Leilei LI, Rongcai YAO, Zhaopeng WANG, Yanxi YANG, Yi DENG, Chenhui ZHANG. Research on Predictive Maintenance Mode of Air Preheater Based on Digital Twin[J]. Power Generation Technology, 2024, 45(4): 622-632.
1 | 由希江 .我国火力发电企业的控碳策略分析[J].集成电路应用,2023,40(1):124-125. |
YOU X J .Analysis on carbon control strategy of thermal power enterprises in China[J].Application of IC,2023,40(1):124-125. | |
2 | 黎立丰,刘春晓,朱浩骏,等 .考虑网络安全约束的可再生能源消纳能力评估方法[J].电力科学与技术学报,2023,38(4):162-168. |
LI L F, LIU C X, ZHU H J,et al .Absorptive capability evaluation method of renewable energy considering security constraints of power grid[J].Journal of Electric Power Science and Technology,2023,38(4):162-168. | |
3 | 邢振中,冷杰,张永兴,等 .火力发电机组深度调峰研究[J].东北电力技术,2014,35(4):18-23. |
XING Z Z, LENG J, ZHANG Y X,et al .Research on depth peak load cycling of thermal power generator units[J].Northeast Electric Power Technology,2014,35(4):18-23. | |
4 | 和萍,宫智杰,靳浩然,等 .高比例可再生能源电力系统调峰问题综述[J].电力建设,2022,43(11):108-121. doi:10.12204/j.issn.1000-7229.2022.11.011 |
HE P, GONG Z J, JIN H R,et al .Review of peak-shaving problem of electric power system with high proportion of renewable energy[J].Electric Power Construction,2022,43(11):108-121. doi:10.12204/j.issn.1000-7229.2022.11.011 | |
5 | 金小峰 .基于有限差分的四分仓回转式空气预热器传热性能数值计算[D].上海:上海交通大学,2007. |
JIN X F .Numerical calculation of heat transfer performance of four-compartment rotary air preheater based on finite difference[D].Shanghai:Shanghai Jiao Tong University,2007. | |
6 | 苏靖程,王志强,屈江江,等 .基于BP神经网络和支持向量回归的燃煤电厂空气预热器压差预测[J].发电技术,2023,44(4):550-556. doi:10.12096/j.2096-4528.pgt.22160 |
SU J C, WANG Z Q, QU J J,et al .Pressure difference prediction of air preheater in coal-fired power plant based on BP neural network and support vector regression[J].Power Generation Technology,2023,44(4):550-556. doi:10.12096/j.2096-4528.pgt.22160 | |
7 | 周俊虎,杨卫娟,靳彦涛,等 .三分仓空气预热器热力计算的研究[J].动力工程,2003,23(6):2810-2813. |
ZHOU J H, YANG W J, JIN Y T,et al .Research on the heat balance calculation of the tri-sectional regenerative air preheater[J].Journal of Chinese Society of Power Engineering,2003,23(6):2810-2813. | |
8 | 陶飞,刘蔚然,张萌,等 .数字孪生五维模型及十大领域应用[J].计算机集成制造系统,2019,25(1):5-22. |
TAO F, LIU W R, ZHANG M,et al .Five-dimension digital twin model and its ten applications[J].Computer Integrated Manufacturing Systems,2019,25(1):5-22. | |
9 | 郭亮,张煜 .数字孪生在制造中的应用进展综述[J].机械科学与技术,2020,39(4):590-598. |
GUO L, ZHANG Y .Review on application progress of digital twin in manufacturing[J].Mechanical Science and Technology for Aerospace Engineering,2020,39(4):590-598. | |
10 | 章耀耀,侯勇,叶海,等 .继电保护数字孪生技术应用展望[J].电力系统保护与控制,2023,51(12):178-187. |
ZHANG Y Y, HOU Y, YE H,et al .Application prospect for relay protection digital twin technology[J].Power System Protection and Control,2023,51(12):178-187. | |
11 | 罗昊,王长江,王建国 .面向数字孪生的电-气综合能源系统可用输电能力计算[J].电力建设,2023,44(11):113-127. |
LUO H, WANG C J, WANG J G .Calculation of available transmission capacity of electricity-gas integrated energy system for digital twin[J].Electric Power Construction,2023,44(11):113-127. | |
12 | 和敬涵,韦智腾,李猛,等 .基于数字孪生的柔性直流线路保护中不良数据自纠错方法[J].电力工程技术,2023,42(6):141-152. |
HE J H, WEI Z T, LI M,et al .A self-correcting method for bad data in flexible DC line protection based on digital twinning[J].Electric Power Engineering Technology,2023,42(6):141-152. | |
13 | El SADDIK A .Digital twins:The convergence of multimedia technologies[J].IEEE Multimedia,2018,25(2):87-92. doi:10.1109/mmul.2018.023121167 |
14 | TAO F, QI Q .Make more digital twins[J].Nature,2019,573(7775):490-491. doi:10.1038/d41586-019-02849-1 |
15 | 陆煜锌,赵云,肖勇,等 .面向数字孪生低压配电网的基于Gabor-YOLO算法的架空线高效识别方法研究[J].电测与仪表,2023,60(3):40-46. |
LU Y X, ZHAO Y, XIAO Y,et al .Research on efficient identification method of overhead lines based on Gabor-YOLO algorithm for digital twin low-voltage distribution network[J].Electrical Measurement & Instrumentation,2023,60(3):40-46. | |
16 | 宋华振 .预测性维护技术[J].自动化博览,2013(12):56-57. |
SONG H Z .Predictive maintenance technology[J].Automation Panorama 1,2013(12):56-57. | |
17 | 彭宇,刘大同 .数据驱动故障预测和健康管理综述[J].仪器仪表学报,2014,35(3):481-495. |
PENG Y, LIU D T .Data-driven prognostics and health management:a review of recent advances[J].Chinese Journal of Scientific Instrument,2014,35(3):481-495. | |
18 | 祝旭 .故障诊断及预测性维护在智能制造中的应用[J].自动化仪表,2019,40(7):66-69. |
ZHU X .Application of fault diagnosis and predictive maintenance in intelligent manufacturing[J].Process Automation Instrumentation,2019,40(7):66-69. | |
19 | 张蕾 .基于数字孪生的设备预测性维护模式研究[J].电子工业专用设备,2021,50(3):12-15. |
ZHANG L .Research on predictive maintenance mode of equipment based on digital twin[J].Equipment for Electronic Products Manufacturing,2021,50(3):12-15. | |
20 | GRIEVES M .Digital twin:manufacturing excellence through virtual factory replication[EB/OL].(2015-11-05)[2023-03-26].. doi:10.20944/preprints202305.1758.v1 |
21 | 吴雁,王晓军,何勇,等 .数字孪生在制造业中的关键技术及应用研究综述[J].现代制造工程,2021(9):137-145. |
WU Y, WANG X J, HE Y,et al .Review on the technology and application of digital twin in manufacturing industry[J].Modern Manufacturing Engineering,2021(9):137-145. | |
22 | 刘大同,郭凯,王本宽,等 .数字孪生技术综述与展望[J].仪器仪表学报,2018,39(11):1-10. |
LIU D T, GUO K, WANG B K,et al .Summary and perspective survey on digital twin technology[J].Chinese Journal of Scientific Instrument,2018,39(11):1-10. | |
23 | 王臻,刘东,徐重酉 等 .新型电力系统多源异构数据融合技术研究现状及展望[J/OL].中国电力:1-13[2023-03-19].. |
cnki .net/kcms/detail/11.3265.TM.20230307.1639.002.html. | |
WANG Z, LIU D, XU Z Y,et al .Research status and prospects of multi-source heterogeneous data fusion technology in new power system[J/OL].Electric Power,:1-13[2023-03-19]..cnki.net/kcms/detail/11.3265.TM.20230307.1639.002.html. | |
24 | 黄文德,张晓飞,庞湘萍,等 .基于北斗与数字孪生技术的智能电网运维平台研究[J].电子测量技术,2021,44(21):31-35. |
HUANG W D, ZHANG X F, PANG X P,et al .Smart grid operation and maintenance platform based on Beidou and digital twin technology[J].Electronic Measurement Technology,2021,44(21):31-35. | |
25 | 周成,孙恺庭,李江,等 .基于数字孪生的车间三维可视化监控系统[J].计算机集成制造系统,2022,28(3):758-768. |
ZHOU C, SUN K T, LI J,et al .Workshop 3D visual monitoring system based on digital twin[J].Computer Integrated Manufacturing Systems,2022,28(3):758-768. | |
26 | 顾岩,程奂翀,王震,等 .基于OPC UA的3D实时监控系统设计与实现[J].系统仿真学报,2017,29(11):2767-2773. |
GU Y, CHENG H C, WANG Z,et al .Design and implementation of 3D monitoring system based on OPC UA[J].Journal of System Simulation,2017,29(11):2767-2773. | |
27 | 赵浩然,刘检华,熊辉,等 .面向数字孪生车间的三维可视化实时监控方法[J].计算机集成制造系统,2019,25(6):1432-1443. |
ZHAO H R, LIU J H, XIONG H,et al .3D visualization real-time monitoring method for digital twin workshop[J].Computer Integrated Manufacturing Systems,2019,25(6):1432-1443. | |
28 | 刘魁,王潘,刘婷 .数字孪生在航空发动机运行维护中的应用[J].航空动力,2019(4):70-74. |
LIU K, WANG P, LIU T .The application of digital twin in aero engine operation and maintenance[J].Aerospace Power,2019(4):70-74. | |
29 | 阙子俊,金晓航,孙毅 .基于UKF的轴承剩余寿命预测方法研究[J].仪器仪表学报,2016,37(9):2036-2043. |
QUE Z J, JIN X H, SUN Y .Remaining useful life prediction forbearings with the unscented Kalman filter-based approach[J].Chinese Journal of Scientific Instrument,2016,37(9):2036-2043. | |
30 | 王安邦,孙文彬,段国林 .基于数字孪生与深度学习技术的制造加工设备智能化方法研究[J].工程设计学报,2019,26(6):666-674. doi:10.3785/j.issn.1006-754X.2019.00.009 |
WANG A B, SUN W B, DUAN G L .Research on intelligent method of manufacturing and processing equipment based on digital twin and deep learning technology[J].Chinese Journal of Engineering Design,2019,26(6):666-674. doi:10.3785/j.issn.1006-754X.2019.00.009 | |
31 | 胡斌,袁景淇,徐亮,等 .一种带自校正功能的回转式空预器温度场在线估计方法:CN103914615B[P].2017-01-04. |
HU B, YUAN J Q, XU L,et al .An online estimation method for temperature field of rotary air preheater with self-correction function:CN103914615B[P].2017-01-04. |
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