• DocumentCode
    3413078
  • Title

    Research and Design of Tower Crane Condition Monitoring and Fault Diagnosis System

  • Author

    Yu, Yang ; Zhao, Zhenlian ; Chen, Liang

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Shenyang Ligong Univ., Shenyang, China
  • Volume
    3
  • fYear
    2010
  • fDate
    23-24 Oct. 2010
  • Firstpage
    405
  • Lastpage
    408
  • Abstract
    Tower cranes are playing an important role in hoisting apparatus, while reducing tower crane accident and improving crane safety performance are always urgent. C8051F020 SCM is selected as the core of this system, and many advanced technology such as multisensor data acquisition, expert system and neural network are to be used. The system has self-contained condition monitor in and fault diagnosis function, stable performance and friendly interface, provides the powerful guarantee for efficient and safe operation.
  • Keywords
    accident prevention; condition monitoring; construction equipment; cranes; fault location; poles and towers; C8051F020 SCM; cranesafety performance; fault diagnosis system; hoisting apparatus; tower crane accident; tower crane condition monitoring; Artificial neural networks; Cranes; Expert systems; Fault diagnosis; Monitoring; Poles and towers; Real time systems; Fault diagnosis; tower crane Condition monitorin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-8432-4
  • Type

    conf

  • DOI
    10.1109/AICI.2010.322
  • Filename
    5656390