Loading...

Modified branching process for the reliability analysis of complex systems: Multiple-robot systems

Fazlollahtabar, H ; Sharif University of Technology | 2018

466 Viewed
  1. Type of Document: Article
  2. DOI: 10.1080/03610926.2017.1324985
  3. Publisher: Taylor and Francis Inc , 2018
  4. Abstract:
  5. Current design practice is usually to produce a safety system which meets a target level of performance that is deemed acceptable by the regulators. Safety systems are designed to prevent or alleviate the consequences of potentially hazardous events. In many modern industries the failure of such systems can lead to whole system breakdown. In reliability analysis of complex systems involving multiple components, it is assumed that the components have different failure rates with certain probabilities. This leads into extensive computational efforts involved in using the commonly employed generating function (GF) and the recursive algorithm to obtain reliability of systems consisting of a large number of components. Moreover, when the system failure results in fatalities it is desirable for the system to achieve an optimal rather than adequate level of performance given the limitations placed on available resources. This paper concerns with developing a modified branching process joint with generating function to handle reliability evaluation of a multi-robot complex system. The availability of the system is modeled to compute the failure probability of the whole system as a performance measure. The results help decision-makers in maintenance departments to analyze critical components of the system in different time periods to prevent system breakdowns. © 2018 Taylor & Francis Group, LLC
  6. Keywords:
  7. Branching process ; Complex system reliability ; Decision making ; Failure analysis ; Industrial robots ; Large scale systems ; Probability distributions ; Reliability ; Robots ; Safety engineering ; Security systems ; Systems engineering ; Generating functions ; Maintenance departments ; Multiple robot ; Multiple robot system ; Recursive algorithms ; Reliability Evaluation ; System reliability ; Reliability analysis
  8. Source: Communications in Statistics - Theory and Methods ; Volume 47, Issue 7 , 2018 , Pages 1641-1652 ; 03610926 (ISSN)
  9. URL: https://www.tandfonline.com/doi/abs/10.1080/03610926.2017.1324985