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Safety 2016, 2(2), 9; doi:10.3390/safety2020009

Application of the D3H2 Methodology for the Cost-Effective Design of Dependable Systems

1
Department of Electronic & Electrical Engineering - Institute for Energy & Environment, University of Strathclyde, 99 George Street, G1 1RD Glasgow, UK
2
Electronics and Computing Department, Mondragon University, Goiru Kalea 2, 20500 Arrasate, Spain
3
Department of Computer Science, University of Hull, Cottingham Road, HU6 7RX Hull, UK
4
Department of Industrial Engineering, Universitá di Catania, Viale Andrea Doria 6, 95125 Catania, Italy
5
DNV GL, Strategic Research & Innovation, Veritasveien 1, 1363 Høvik, Norway
This paper is an extended version of our paper published in Aizpurua, J.I.; Muxika, E.; Manno, G.; Chiacchio, F. Heterogeneous Redundancy Analysis based on Component Dynamic Fault Trees. In International Conference on Probabilistic Safety Assessment and Management (PSAM) 12, 2014.
*
Author to whom correspondence should be addressed.
Academic Editor: Raphael Grzebieta
Received: 14 August 2015 / Revised: 14 March 2016 / Accepted: 15 March 2016 / Published: 25 March 2016
(This article belongs to the Special Issue Feature Papers)
View Full-Text   |   Download PDF [1140 KB, uploaded 25 March 2016]   |  

Abstract

The use of dedicated components as a means of achieving desirable levels of fault tolerance in a system may result in high costs. A cost effective way of restoring failed functions is to use heterogeneous redundancies: components that, besides performing their primary intended design function, can also restore compatible functions of other components. In this paper, we apply a novel design methodology called D3H2 (aDaptive Dependable Design for systems with Homogeneous and Heterogeneous redundancies) to assist in the systematic identification of heterogeneous redundancies, the design of hardware/software architectures including fault detection and reconfiguration, and the systematic dependability and cost assessments of the system. D3H2 integrates parameter uncertainty and criticality analyses to model inexact failure data in dependability assessment. The application to a railway case study is presented with a focus on analysing different reconfiguration strategies as well as types and levels of redundancies. View Full-Text
Keywords: heterogeneous redundancies; cost reduction; dependability assessment; criticality analysis; uncertainty analysis heterogeneous redundancies; cost reduction; dependability assessment; criticality analysis; uncertainty analysis
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Aizpurua, J.I.; Muxika, E.; Papadopoulos, Y.; Chiacchio, F.; Manno, G. Application of the D3H2 Methodology for the Cost-Effective Design of Dependable Systems. Safety 2016, 2, 9.

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