About: Effective computing algorithm for maintenance optimization of highly reliable systems     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • This paper describes a new iterative numerical algorithm for optimal maintenance strategy respecting a given reliability constraint. It stems from the previous author’s research work which brings a new direct analytical method that enables exact reliability quantifications of highly reliable systems with maintenance (both preventive and corrective), i.e. the instantaneous unavailability function is computed in full machine accuracy. The method takes into account systems with highly reliable and maintained components, including repairable components undergoing to hidden failures. The new numerical algorithm for maintenance optimization introduced in this article fully respects previously developed exact computing methodology to solve a cost-optimization problem where decision variable is maintenance. The algorithm which is based on merits of a high-performance language for technical computing MATLAB, results from linear approximation of total system cost that is supposed to be a linear function of frequency of maintenance and from limiting unavailability approximation in each iteration step. The optimization method is demonstrated on two systems from practice – a real power distribution network and high pressure injection system of a nuclear power plant.
  • This paper describes a new iterative numerical algorithm for optimal maintenance strategy respecting a given reliability constraint. It stems from the previous author’s research work which brings a new direct analytical method that enables exact reliability quantifications of highly reliable systems with maintenance (both preventive and corrective), i.e. the instantaneous unavailability function is computed in full machine accuracy. The method takes into account systems with highly reliable and maintained components, including repairable components undergoing to hidden failures. The new numerical algorithm for maintenance optimization introduced in this article fully respects previously developed exact computing methodology to solve a cost-optimization problem where decision variable is maintenance. The algorithm which is based on merits of a high-performance language for technical computing MATLAB, results from linear approximation of total system cost that is supposed to be a linear function of frequency of maintenance and from limiting unavailability approximation in each iteration step. The optimization method is demonstrated on two systems from practice – a real power distribution network and high pressure injection system of a nuclear power plant. (en)
Title
  • Effective computing algorithm for maintenance optimization of highly reliable systems
  • Effective computing algorithm for maintenance optimization of highly reliable systems (en)
skos:prefLabel
  • Effective computing algorithm for maintenance optimization of highly reliable systems
  • Effective computing algorithm for maintenance optimization of highly reliable systems (en)
skos:notation
  • RIV/61989100:27740/13:86083452!RIV14-MSM-27740___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I, P(ED1.1.00/02.0070)
http://linked.open...iv/cisloPeriodika
  • January 2013
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 71854
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27740/13:86083452
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • unavailability; optimization; maintenance; exact computing (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV
  • [99BC7AD8C3DD]
http://linked.open...i/riv/nazevZdroje
  • Reliability engineering and system safety
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 109
http://linked.open...iv/tvurceVysledku
  • Briš, Radim
  • Byczanski, Petr
http://linked.open...ain/vavai/riv/wos
  • 000310822400010
issn
  • 0951-8320
number of pages
http://bibframe.org/vocab/doi
  • 10.1016/j.ress.2012.08.010
http://localhost/t...ganizacniJednotka
  • 27740
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 62 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software