Diagnosis based on reliability analysis using monitors and sensors

T. Assaf and J.B. Dugan

Reliability Engineering and System Safety, 2008, vol. 93, issue 4, 509-521

Abstract: We develop a process for using monitors or sensors to optimize diagnostic decision trees (DDTs) generated for large systems. We present algorithms for optimizing the diagnosis process, which combines evidence data captured from monitors or sensors into the diagnostic tree generation process to produce DDTs. Since evidence data can be extracted from monitors and sensors, we developed a method for sensor modeling. Our method allows modeling monitors or sensors as an abstract layer on top of a systems fault tree model. This method of modeling allows the designer to graphically link monitors or sensors to the components that they monitor, without impacting the reliability analysis. We use a real system from the industry to demonstrate the practicality and effectiveness of our algorithms and methods.

Keywords: System diagnosis; Decision trees; Fault trees; Evidence and sensor modeling (search for similar items in EconPapers)
Date: 2008
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:93:y:2008:i:4:p:509-521

DOI: 10.1016/j.ress.2006.10.024

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