Trend analysis and on-line identification of state parameters of hydraulic generators

被引：0
|
作者：
Wang, S. [1 ]
Zhong, D. [1 ]
Zhang, Q. [1 ]
机构：
[1] Nanjing Automation Res. Institute, Nanjing 210003, China
来源：
| 2001年 / Automation of Electric Power Systems Press卷 / 25期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Trend analysis and computerized expression of state parameters are two important factors in the on-line fault diagnosis. Singular spectrum theory is used in this paper to analyze the trend of state parameters. While the artificial neural network (ANN) is applied in the on-line identification of typical trends of state parameters. This method can identify the state parameters effectively, such as vibration, temperature, pressure and so on. So it could be an effective assistant analytical method for state analysis, state assessment and prediction of hydraulic generators as well as could be a powerful reference of state maintenance for hydroelectric plant.
引用
收藏
相关论文
共 50 条
  • [41] On-line Identification of PMSM Parameters: Model-Reference vs EKF
    Boileau, Thierry
    Mobarakeh, Babak Nahid
    Tabar, Farid Meibody
    2008 IEEE INDUSTRY APPLICATIONS SOCIETY ANNUAL MEETING, VOLS 1-5, 2008, : 1410 - 1417
  • [42] On-line identification and estimation of non-linear stiffness parameters of bearings
    Tiwari, R
    JOURNAL OF SOUND AND VIBRATION, 2000, 234 (05) : 906 - 910
  • [43] On-line Synchronous Generator's Parameters Identification with Dyanmic PMU data
    Zhang, Junli
    Xue, Ancheng
    Bi, Tianshu
    Wang, Zhengfeng
    Tang, Wei
    2012 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2012,
  • [44] On-line identification of physical parameters involved with dynamic beams: Experimental study
    Ohsumi, A
    Watanabe, M
    Shintani, A
    PROCEEDINGS OF THE 35TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4, 1996, : 4204 - 4209
  • [45] On-line identification of language measure parameters for discrete event supervisory control
    Wang, X
    Ray, A
    Khatkhate, AM
    42ND IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-6, PROCEEDINGS, 2003, : 6307 - 6312
  • [46] On-line identification of electrical parameters of the induction motor using RLS estimation
    Cecati, C
    Rotondale, N
    IECON '98 - PROCEEDINGS OF THE 24TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-4, 1998, : 2263 - 2268
  • [47] On-line detection of state-of-charge in lead acid battery using both neural network and on-line identification
    Morita, Yoshifumi
    Yamamoto, Sou
    Lee, Sun Hee
    Mizuno, Naoki
    IECON 2006 - 32ND ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS, VOLS 1-11, 2006, : 3596 - +
  • [48] A framework for on-line trend extraction and fault diagnosis
    Maurya, Mano Ram
    Paritosh, Praveen K.
    Rengaswamy, Raghunathan
    Venkatasubramanian, Venkat
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2010, 23 (06) : 950 - 960
  • [49] ON-LINE IDENTIFICATION OF MARKOV PARAMETERS AND DISCRETE LINEAR STATE VARIABLE MODEL FROM FINITE INPUT-OUTPUT DATA
    WANG, JC
    MECHANICAL ENGINEERING, 1973, 95 (02) : 53 - 53
  • [50] On-line stoichiometry and identification of metabolic state under dynamic process conditions
    Herwig, C
    Marison, I
    von Stockar, U
    BIOTECHNOLOGY AND BIOENGINEERING, 2001, 75 (03) : 345 - 354
12345