• DocumentCode
    3218352
  • Title

    Reliability evaluation of mine ventilation systems based on multi-state system theory

  • Author

    Miao, Zhuqi ; Wang, Zhoujing ; Lan, Weiyao

  • Author_Institution
    Dept. of Autom., Xiamen Univ., Xiamen, China
  • fYear
    2010
  • fDate
    9-11 June 2010
  • Firstpage
    1092
  • Lastpage
    1097
  • Abstract
    Mine ventilation system plays an essential role in underground workings. To improve the reliability of mine ventilation systems, main fans often include cold-standby units. It makes main fans have several possible states with distinct performance rates (levels). When multi-state main fan components are operating in combination, the entire mine ventilation system performs with various levels in air-flow rate. In this paper, we apply multi-state system (MSS) theory and methods to the reliability evaluation of mine ventilation systems. The states of the main fan component with a cold-standby unit are investigated and the corresponding steady-state probabilities are calculated by using Markov process. Then, the Universal Generating Function (UGF) technique is used to determine the availability of the entire mine ventilation system. An illustrative example is subsequently employed to demonstrate how to apply the proposed approach.
  • Keywords
    Markov processes; coal; fans; mining; probability; reliability; ventilation; Markov process; air flow rate; cold-standby unit; main fans; mine ventilation system; multistate system theory; reliability evaluation; steady-state probability; universal generating function technique; Air pollution; Automatic control; Automation; Availability; Fans; Humidity; Markov processes; Reliability theory; Thermal pollution; Ventilation; Markov process; main fans; mine ventilation systems; multi-state system (MSS); universal generating function (UGF);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation (ICCA), 2010 8th IEEE International Conference on
  • Conference_Location
    Xiamen
  • ISSN
    1948-3449
  • Print_ISBN
    978-1-4244-5195-1
  • Electronic_ISBN
    1948-3449
  • Type

    conf

  • DOI
    10.1109/ICCA.2010.5524257
  • Filename
    5524257