Hierarchical combination reliability modeling method for fault tolerant sensor system

Liao Yuan Yuan, Wei Guo Zhang, Xiao Guang Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

According to the architecture feature of the fault tolerant sensor system, a hierarchical combination reliability modeling method was proposed based on the dynamic fault tree analysis and the Markov process. Temporal operators were applied to represent the sequential logic, and the analytic formula for the failure probability of the top event was derived. The FDI (failure detection and isolation) behavior was modeled by the Markov process. The resultant model was compared to the PFCM (perfect fault coverage model). The impact of the parameters on the system reliability was evaluated. The simulation results demonstrate the modeling method is feasible, efficient and more accurate.

Original languageEnglish
Title of host publicationSensors, Measurement and Intelligent Materials II
Pages532-541
Number of pages10
DOIs
StatePublished - 2014
Event2013 2nd International Conference on Sensors, Measurement and lntelligent Materials, ICSMIM 2013 - Guangzhou, China
Duration: 16 Nov 201317 Nov 2013

Publication series

NameApplied Mechanics and Materials
Volume475-476
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference2013 2nd International Conference on Sensors, Measurement and lntelligent Materials, ICSMIM 2013
Country/TerritoryChina
CityGuangzhou
Period16/11/1317/11/13

Keywords

  • Dynamic fault tree
  • Fault tolerant sensor system
  • FDI parameters
  • Hierarchical combination method
  • Markov process

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