Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments 2017
DOI: 10.1145/3137133.3137138
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Efficient probabilistic model checking of smart building maintenance using fault maintenance trees

Abstract: Cyber-physical systems, like Smart Buildings and power plants, have to meet high standards, both in terms of reliability and availability. Such metrics are typically evaluated using Fault trees (FTs) and do not consider maintenance strategies which can significantly improve lifespan and reliability. Fault Maintenance trees (FMTs) -an extension of FTs that also incorporate maintenance and degradation models, are a novel technique that serve as a good planning platform for balancing total costs and dependability… Show more

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Cited by 16 publications
(19 citation statements)
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“…HVACs offer a decomposition in subsystems fitting nicely the FMT approach. The concrete model studied is taken from [5]: Fig. 1 shows a visual description of the setup.…”
Section: Fault Maintenance Tree Model Of An Hvac Systemmentioning
confidence: 99%
See 3 more Smart Citations
“…HVACs offer a decomposition in subsystems fitting nicely the FMT approach. The concrete model studied is taken from [5]: Fig. 1 shows a visual description of the setup.…”
Section: Fault Maintenance Tree Model Of An Hvac Systemmentioning
confidence: 99%
“…Typically, FMT analysis is performed via statistical model checking (SMC, [19]). Analysing (smart buildings using) FMTs via probabilistic model checking (PMC) was introduced in [5]. In that work, component degradation of an HVAC is discretised in time using phases, with a stepwise degradation behaviour approximated via Erlang distributions, and using inspection and repair modules to regulate maintenance actions.…”
Section: Introductionmentioning
confidence: 99%
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“…Interest in BAS, also colloquially known as smart buildings, is gaining rapid momentum, in particular as a means for ensuring thermal comfort ( [1]), minimising energy consumption ( [17,19]), and ascertaining reliability ( [4,20]). Quantitative models are needed to evaluate system performance, to verify correct behaviour, and to develop specific control algorithms.…”
Section: Introductionmentioning
confidence: 99%