Earticle

초록

영어

It is well known that condition based preventive maintenance (CBM) plays a key role in improving reliability of the devices and increasing security of the production process. But compared with traditional time based preventive maintenance (TBM), due to being an unplanned examining-maintenance activity beforehand, stationary operation of the devices is possibly interrupted so as to make whole production process become unstable, for example, connected-grid wind power generators, large-size nuclear power facilities, and railway transportation signals, and etc. Hence, in this paper the full life cycle model of the devices operation is firstly constructed with preventive maintenance (PM) involved, and then its reliability indexes and steady-state operation characteristics are analyzed with the model parameters being time-invariant corresponding to TBM. On the basis of it, the operation behavior of time-variant system is researched corresponding to CBM under some limitations, such as stability, accessibility, and controllability, and etc. The investigations indicate that TBM is a predictable and controllable process such that it can satisfy one’s expectation by selecting suitable model parameters, whereas CBM is usually unpredictable such that it can not arrive at desired aim. Therefore, based on the relationships of the two, this paper proposes a CBM control scheme based on TBM, and investigates the dynamical behavior and real-time characteristics of control systems. The goal to do this makes the CBM exhibit some expected behaviors like the TBM such that the behaviors of the time-variant system can meet the desired requirements. The investigation results show that the proposed technology is quite effective, and is fit to control stationary operating of the systems under CBM scene. And so the proposed method possesses certain theory instruction significances for PM maintenance practices for those large-scale production processes.

목차

Abstract
 1. Introduction
 2. TBM Model
  2.1 TBM Model Description
  2.2 TBM Model Analysis
 3. CBM Model
  3.1 CBM Model Description
 4. TBM Based CBM Control Strategy Design
 5. State Estimation and Error Control
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Hongsheng Su [ School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605