ASQ - Electronics and Communications Division

Availability Growth Modeling and Assessment

Abstract: 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must first be obtained from the IEEE.

The reliability growth process, applied to a complex system under development, involves surfacing failure modes, analyzing the modes and their causes, and implementing corrective actions (fixes) to detected problems. In such a manner, the system reliability is grows and its configuration is going to be mature with respect to reliability. The conventional procedure of the Reliability growth implies evaluation of two principal parameters of the Non- Homogeneous Poison Process (NHPP) related to the failure rate only. In addition to the Reliability aspect, the Availability factor, and, as the result, the Availability growth (not only Reliability growth) is extremely important for the repairable Systems. Yet because the standard NHPP does not take into account the repair rate parameters, the practitioners are awaiting for a long time for an expanded procedure for the Availability Growth tracking. This paper suggests a model and a numerical method to evaluate these parameters, establishing consequently the Inherent Availability Growth model, i.e. considering only corrective maintenance times due to failures. The model can be further generalized for Operational and Achieved Availability by taking in account the preventive maintenance, administrative and logistics times as appropriate.

Keywords: RAMS 2011 Proceedings - Reliability Growth - Availability Model - Markov

Already a member? Access this Content

You will need Adobe Reader to view this PDF document.
Download the free Reader from Adobe

  • Print this page
  • Save this page

Average Rating

Rating

Out of 0 Ratings
Rate this item

View comments
Add comments
Comments FAQ

ASQ News

 

RAMS 2019