Information entropy theory for steam turbine system monitoring study

被引:8
|
作者
Gu, Hui [1 ]
Si, Fengqi [2 ]
Cui, Yanfeng [1 ]
Zhu, Hongxia [1 ]
Cui, Xiaobo [1 ]
机构
[1] Nanjing Inst Technol, Sch Energy & Power Engn, Nanjing 211167, Jiangsu, Peoples R China
[2] Southeast Univ, Minist Educ, Key Lab Energy Thermal Convers & Control, Nanjing, Peoples R China
基金
中国国家自然科学基金;
关键词
mutual information entropy; sensor fault; steam turbine; uncertainty analysis; UNCERTAINTY; EXPRESSION; DIAGNOSIS; GUIDE; VALVE;
D O I
10.1002/eng2.12261
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A steam turbine is one of the components in a power plant. Considered as a strong coupling system, steam turbines may possess correlation information among the operation parameters. In this article, a correlation extraction method based on mutual information theory is proposed for performance monitoring. First, five functions between two variables including linear and nonlinear relationships are tested to validate the proposed method. In the first industrial case study, a sensor fault detection based on the governing stage pressure is conducted on the abnormal fluctuation mutual entropy values calculated by operation data. The results show the proposed method may effectively be used to detect sensor errors and locate the first error sample. Furthermore, uncertainty analysis on the heat rate is studied to sort the importance degree of the relative parameters. The mutual information entropy difference values are then calculated to quantify the sensitivity degree of the operation parameters to the heat rate index. The results in this case study are in accordance with the sequences by the Guide to the Expression of Uncertainty Measurement (GUM) and Monte Carlo (MC) methods. In conclusion, mutual information entropy may hence be used as a new solution for turbine monitoring, combined with information theory.
引用
收藏
页数:10
相关论文
共 50 条
  • [31] Selection of steam turbine bypass system
    Sun, W.
    Wang, Y.
    2019 INTERNATIONAL CONFERENCE ON NEW ENERGY AND FUTURE ENERGY SYSTEM, 2019, 354
  • [32] TURBINE BLADE CRACK DETECTION USING BLADE VIBRATION MONITORING: FIELD STUDY FROM AN OPERATING STEAM TURBINE
    Techy, Laszlo
    De Gooyer, Brynn
    von Flotow, Andy
    Tappert, Peter
    John, Shaju
    Losh, David
    Lewit, Benjamin
    PROCEEDINGS OF ASME TURBO EXPO 2022: TURBOMACHINERY TECHNICAL CONFERENCE AND EXPOSITION, GT2022, VOL 8A, 2022,
  • [33] A study of the method for locating the friction and clearance in a steam turbine governing system
    Dai, Y.
    Song, X.
    Deng, R.
    Reneng Dongli Gongcheng/Journal of Engineering for Thermal Energy and Power, 2001, 16 (04): : 415 - 417
  • [34] Study of fuzzy PID controller for industrial steam turbine governing system
    Han, GH
    Chen, LH
    Shao, JP
    Sun, ZB
    INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS AND INFORMATION TECHNOLOGIES 2005, VOLS 1 AND 2, PROCEEDINGS, 2005, : 1228 - 1232
  • [35] Study on steam turbine fault diagnosis and maintenance service grid system
    Ding, Y. F.
    Sheng, B. Y.
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2010, 224 (B3) : 517 - 530
  • [36] STUDY OF OPTIMUM DESIGN FOR STEAM TURBINE FEEDWATER HEATING SYSTEM.
    Xu, Jiyu
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 1988, 8 (01): : 55 - 61
  • [37] The Research On Malfunction Diagnosis of Thermal Power System of Steam Turbine based on Structure Theory
    Wang, Yong
    Ji, Dongmei
    Chai, Guoxu
    Wang, Du
    ADVANCES IN POWER AND ELECTRICAL ENGINEERING, PTS 1 AND 2, 2013, 614-615 : 89 - +
  • [38] Entropy and Information Theory in Acoustics
    Li, Yuxing
    ENTROPY, 2022, 24 (12)
  • [39] Entropy in Thermodynamics and in Information Theory
    V. A. Zorich
    Problems of Information Transmission, 2022, 58 : 103 - 110
  • [40] Entropy in Thermodynamics and in Information Theory
    Zorich, V. A.
    PROBLEMS OF INFORMATION TRANSMISSION, 2022, 58 (02) : 103 - 110