VIBRATION MONITORING APPROACH IN INTEGRATED SYSTEM OF HYDROELECTRIC GENERATING SETS FOR SMART POWER STATIONS

被引:4
作者
Wu, Yuechao [1 ]
Li, Zhaohui [2 ]
Li, Bailin [1 ]
Chu, Fanwu [1 ]
Cui, Xiaolong [2 ]
机构
[1] Huazhong Univ Sci & Technol, Coll Hydropower & Informat Engn, Wuhan Shi, Hubei Sheng, Peoples R China
[2] Huazhong Univ Sci & Technol, State Key Lab Adv Electromagnet Engn & Technol, Wuhan Shi, Hubei Sheng, Peoples R China
关键词
Smart power station; integrated monitoring; vibration; selective storage; team intelligence; cooperation;
D O I
10.2316/Journal.203.2016.4.203-6282
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Vibration monitoring is the most important module of an integrated monitoring system of hydroelectric generating sets (HGSs) due to the fact that most faults of HGSs are reflected in the form of vibration. To improve the vibration monitoring ability of the integrated monitoring system of HGSs, a novel integrated monitoring approach based on team intelligence is proposed in this paper. The monitoring functions are assigned to some team members with complementary capabilities and expertise, based on which the integrated monitoring framework of HGSs is established. The vibration state data are divided into five layers, for which selective storage strategies are proposed to improve the pertinence of the data and save storage space. In addition, real-time and time-lapse cooperative monitoring are realized with the driving of condition synchronization, event synchronization and time-lapse inspections. Meanwhile, the selective storage and associative storage of the state data are completed during the process. Besides, the temporary data continuously stored can be extracted and permanently stored by experts to prevent the omission of selective storage. Currently, the proposed approach has been successfully applied in Gezhouba Hydropower Station, which significantly improves the intelligent level of the power station.
引用
收藏
页码:147 / 155
页数:9
相关论文
共 15 条
  • [1] Ai Y. G., 2012, INT J DIGITAL CONTEN, V6, P409
  • [2] Chen X. Y., 2007, International Journal of Power and Energy Systems, V27, P305, DOI 10.2316/Journal.203.2007.3.203-3766
  • [3] HYDROPOWER GENERATING SET STATES DATA INTEGRATION AND UTILIZATION
    Chu, Fanwu
    Cui, Xiaolong
    Li, Zhaohui
    [J]. INTERNATIONAL JOURNAL OF POWER AND ENERGY SYSTEMS, 2016, 36 (02) : 76 - 83
  • [4] Islam Arif, 2011, International Journal of Power and Energy Systems, V31, P198, DOI 10.2316/Journal.203.2011.4.203-4815
  • [5] Judd MD, 2005, IEEE ELECTR INSUL M, V21, P5, DOI [10.1109/MEI.2005.1412214, 10.1109/MEI.2005.1437603]
  • [6] Li Z, 2007, IEEE POW ENG SOC GEN, P1, DOI [10.1109/PES.2007.385722, DOI 10.1109/PES.2007.385722]
  • [7] Li ZH, 2009, IEEE CIRCUITS AND SYSTEMS INTERNATIONAL CONFERENCE ON TESTING AND DIAGNOSIS, P1
  • [8] Pan J. C., 2012, HYDROPOWER AUTOMATIO, V36, P1
  • [9] Condition monitoring and fault diagnostics for hydropower plants
    Selak, Luka
    Butala, Peter
    Sluga, Alojzij
    [J]. COMPUTERS IN INDUSTRY, 2014, 65 (06) : 924 - 936
  • [10] Shi H. X., 2007, P IEEE POW ENG SOC G, P1, DOI DOI 10.1109/PES.2007.385723