• DocumentCode
    3278261
  • Title

    Fault detection method based on file naming algorithm for ocean observing network

  • Author

    Zhanbin Li ; Hui Qu ; Yanning Hua ; Ke Liu ; Liangming Zhou ; Peng Chen

  • Author_Institution
    Dept. of Network Cente, Nat. Marine Data & Inf. Service of China, Tianjin, China
  • fYear
    2013
  • fDate
    23-25 May 2013
  • Firstpage
    926
  • Lastpage
    929
  • Abstract
    Ocean observing network is foundational facility for marine disaster prevention. Base on the file naming algorithm of ocean observing data, a fault detection method for ocean observing network is proposed in this paper. By analyzing file naming and storing rules of ocean observing data, the file naming algorithm is designed. Further, the data receiving exception can be detected and located to the data source node by executing file naming algorithm. Last, combining with network circuit detecting result, the fault type can be distinguished and the faulty object can be located precisely. For illustration, a fault detection example with minutely data files is utilized to show the effect. Empirical results show that the fault detection method based on file naming algorithm can locate the faulty object in 10 minutes, and can provide operation protecting for ocean observing network.
  • Keywords
    data handling; fault diagnosis; geophysics computing; marine accidents; marine engineering; marine safety; naming services; oceanographic techniques; storage management; data files; data receiving exception; data source node; fault detection; faulty object location; file naming algorithm; foundational facility; marine disaster prevention; network circuit detection; ocean observing data; ocean observing network; storing rules; Manuals; Monitoring; fault detection; file naming algorithm; observing network; sensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2013 4th IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2327-0586
  • Print_ISBN
    978-1-4673-4997-0
  • Type

    conf

  • DOI
    10.1109/ICSESS.2013.6615457
  • Filename
    6615457