Definitions of generalized multi-performance weighted multi-state K¯ -out-of- n system and its reliability evaluations - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Reliability Engineering and System Safety Année : 2017

Definitions of generalized multi-performance weighted multi-state K¯ -out-of- n system and its reliability evaluations

Résumé

The k-out-of-n system model is widely applied for the reliability evaluation of many technical systems. Multi-state system modelling is also widely used for representing real systems, whose components can have different levels of performance. For these researches, recently multi-state k-out-of-n systems have been comprehensively studied. In these studies, it is usually assumed that the system has a single task function to complete in a given environment. Moreover, the system or component performance is characterised by one measure, for example "electric power" in generation systems or "flow-rate" in transmission systems. However, this can be a simplification for some real-life engineering systems. For example, an intertwined district heating and electricity system consists of combined heat and power generating units, which can produce both electricity and heat. In this paper, definitions of multi-performance weighted multi-state components are provided and two generalized multi-performance multi-state K¯-out-of-n system models are proposed. Universal generating function approach is developed for the evaluation of such systems, with two numerical examples.
Fichier principal
Vignette du fichier
MV-MSS-W-k-out-of-n-submited-2017-04-04_YL-.pdf (402.05 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01786936 , version 1 (20-03-2020)

Identifiants

Citer

Emil Mahler Larsen, Yi Ding, Yan-Fu Li, Enrico Zio. Definitions of generalized multi-performance weighted multi-state K¯ -out-of- n system and its reliability evaluations. Reliability Engineering and System Safety, 2017, ⟨10.1016/j.ress.2017.06.009⟩. ⟨hal-01786936⟩
92 Consultations
115 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More