2017
DOI: 10.1002/qre.2234
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A hierarchical combinatorial reliability model for smart home systems

Abstract: As an application of the Internet of Things, smart home systems have received significant attentions in recent years due to their precedent advantages, eg, in ensuring efficient electricity transmission and integration with renewable energy. This paper proposes a hierarchical and combinatorial methodology for modeling and evaluating reliability of a smart home system. Particularly, the proposed methodology encompasses a multi-valued decision diagram-based method for addressing phased-mission, standby sparing, … Show more

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Cited by 30 publications
(14 citation statements)
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“…Smart homes have recently received significant attention because of their unprecedented advantages (eg, ensuring efficient electricity transmission, and integrating renewable energy) . As illustrated in Figure , a smart home system typically includes four parts: a smart meter that works as an interface between residence and the public energy provider; a home energy management system (EMS) that tracks energy use, monitors real‐time information, and allows residences to view the information and access system appliances remotely; various smart appliances that are able to respond to signals from EMS; and a home generation unit that utilizes renewable solar resource.…”
Section: Case Studymentioning
confidence: 99%
“…Smart homes have recently received significant attention because of their unprecedented advantages (eg, ensuring efficient electricity transmission, and integrating renewable energy) . As illustrated in Figure , a smart home system typically includes four parts: a smart meter that works as an interface between residence and the public energy provider; a home energy management system (EMS) that tracks energy use, monitors real‐time information, and allows residences to view the information and access system appliances remotely; various smart appliances that are able to respond to signals from EMS; and a home generation unit that utilizes renewable solar resource.…”
Section: Case Studymentioning
confidence: 99%
“…An MDD is a rooted, directed acyclic graph used to represent a multivalued logic function . An MDD model constructed for a system state consists of two sink/leaf nodes “0” and “1,” representing the system not being or being in the particular state, respectively.…”
Section: Preliminary Modelsmentioning
confidence: 99%
“…An MDD is a rooted, directed acyclic graph used to represent a multivalued logic function. 27,28 An MDD model constructed for a system state consists of two sink/leaf nodes "0" and "1," representing the system not being or being in the particular state, respectively. Each nonsink node (as illustrated in the left subfigure of Figure 2) corresponds to a multistate (particularly, n-state) component and is associated with an n-valued variable x.…”
Section: Multivalued Decision Diagrammentioning
confidence: 99%
“…Wang et al analyzed wireless sensor networks considering across‐phase component dependencies using binary decision diagrams. Zhao et al modeled functionally dependent components and related competing failures for smart home systems using combinatorial methods. Kotz et al investigated impacts of correlation to MTTF of systems with dependent components.…”
Section: Introductionmentioning
confidence: 99%
“…Cui et al studied dependent failures based on a Markov approach. Unlike research, which are for a specific type of dependencies, Ranm and Singh introduced the Copula to analyze systems with arbitrarily dependent components. Eryilmaz analyzed the reliability of coherent systems and weighted‐k‐out‐of‐n systems based on the Copula method.…”
Section: Introductionmentioning
confidence: 99%