Picture of person typing on laptop with programming code visible on the laptop screen

World class computing and information science research at Strathclyde...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by researchers from the Department of Computer & Information Sciences involved in mathematically structured programming, similarity and metric search, computer security, software systems, combinatronics and digital health.

The Department also includes the iSchool Research Group, which performs leading research into socio-technical phenomena and topics such as information retrieval and information seeking behaviour.

Explore

Learning to enhance reliability of electronic systems through effective modeling and risk assessment

Walls, L.A. and Quigley, J.L. (2000) Learning to enhance reliability of electronic systems through effective modeling and risk assessment. In: Annual reliability and maintainability symposium - 2000 proceedings, 1900-01-01.

Full text not available in this repository. Request a copy from the Strathclyde author

Abstract

Now that electronic components have demonstrated high reliability, attention has centered upon enhancing the reliability of electronic systems. We introduce a modeling framework to support decision-making during electronic systems design with a view to enhancing operational reliability. We differentiate our work from those models that seek only to provide reliability predictions. Our premise is that modeling can be used to give a better understanding of the impact of engineering decisions on those factors affecting reliability. Through modeling, the decision-maker is encouraged to reflect upon the consequences of actions to learn how a design might be enhanced. The model formulation and data management processes are described for an assumed evolutionary design process. Bayesian approaches are used to combine data types and sources. Exploratory data analysis identifies those factors affecting operational reliability. Expert knowledge is elicited to assess how these factors might impact upon proposed designs. Statistical inference procedures are used to support an assessment of risks associated with design decisions. Applications to the design of electronic systems for aircraft illustrate the usefulness of the model. On-going research is being conducted to fully evaluate the proposed approach.