{"id":427,"date":"2011-09-02T12:53:50","date_gmt":"2011-09-02T16:53:50","guid":{"rendered":"http:\/\/www.reliabilityanalytics.com\/blog\/?p=427"},"modified":"2012-09-21T09:30:42","modified_gmt":"2012-09-21T13:30:42","slug":"reliability-modeling-combination-of-series-and-parallel","status":"publish","type":"post","link":"https:\/\/reliabilityanalytics.com\/blog\/2011\/09\/02\/reliability-modeling-combination-of-series-and-parallel\/","title":{"rendered":"Reliability Modeling: Combination of Series and Parallel"},"content":{"rendered":"<p>Most practical equipments and systems are combinations of series and parallel components as shown below<\/p>\n<p><a href=\"https:\/\/reliabilityanalytics.com\/blog\/wp-content\/uploads\/2011\/09\/series_parallel_RBD1.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-429\" title=\"series_parallel_RBD\" src=\"https:\/\/reliabilityanalytics.com\/blog\/wp-content\/uploads\/2011\/09\/series_parallel_RBD1.png\" alt=\"\" width=\"607\" height=\"176\" srcset=\"https:\/\/reliabilityanalytics.com\/blog\/wp-content\/uploads\/2011\/09\/series_parallel_RBD1.png 607w, https:\/\/reliabilityanalytics.com\/blog\/wp-content\/uploads\/2011\/09\/series_parallel_RBD1-300x86.png 300w, https:\/\/reliabilityanalytics.com\/blog\/wp-content\/uploads\/2011\/09\/series_parallel_RBD1-500x144.png 500w\" sizes=\"auto, (max-width: 607px) 100vw, 607px\" \/><\/a><\/p>\n<p>To solve this network, one merely uses series and parallel relationships to decompose and recombine the network step by step. <!--more-->For example<\/p>\n<p>R<sub>ad<\/sub> = R<sub>1<\/sub> \u00b7 R<sub>2<\/sub> = (0.9)(0.8) = 0.72<\/p>\n<p>R<sub>bd<\/sub> = R<sub>3<\/sub> \u00b7 R<sub>4<\/sub> \u00b7 R<sub>5<\/sub> = (0.8)(0.8)(0.9) = 0.576<\/p>\n<p>but R<sub>ad<\/sub> and R<sub>bd<\/sub> are in parallel; thus, the unreliability of this parallel subsystem (S<sub>1<\/sub>) is<\/p>\n<p>Q<sub>S1<\/sub> = Q<sub>ad<\/sub> \u00b7 Q<sub>bd<\/sub> = (1 &#8211; R<sub>ad<\/sub>)(1 &#8211; R<sub>bd<\/sub>) = (1 &#8211; 0.72)(1 &#8211; 0.576) = (0.28)(0.424) = 0.119<\/p>\n<p>and its reliability is<\/p>\n<p>R<sub>S1<\/sub> = 1 &#8211; Q<sub>S1<\/sub> = 1 &#8211; 0.119\u00a0 = 0.881<\/p>\n<p>Now the network has been decomposed to<\/p>\n<p><a href=\"https:\/\/reliabilityanalytics.com\/blog\/wp-content\/uploads\/2011\/09\/series_parallel_decomposed.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-431\" title=\"series_parallel_decomposed\" src=\"https:\/\/reliabilityanalytics.com\/blog\/wp-content\/uploads\/2011\/09\/series_parallel_decomposed.png\" alt=\"\" width=\"342\" height=\"106\" srcset=\"https:\/\/reliabilityanalytics.com\/blog\/wp-content\/uploads\/2011\/09\/series_parallel_decomposed.png 342w, https:\/\/reliabilityanalytics.com\/blog\/wp-content\/uploads\/2011\/09\/series_parallel_decomposed-300x92.png 300w\" sizes=\"auto, (max-width: 342px) 100vw, 342px\" \/><\/a><\/p>\n<p>Letting R<sub>S2<\/sub> equal the combined reliability of R<sub>S1<\/sub> and R<sub>6<\/sub> in series<\/p>\n<p>R<sub>S2<\/sub> = R<sub>S1<\/sub>\u00a0\u00b7 R<sub>6<\/sub> = (0.881)(0.9) = 0.793<\/p>\n<p>Q<sub>S2<\/sub> = 1 &#8211; R<sub>S2<\/sub> = 1 &#8211; 0.793 = 0.207<\/p>\n<p>Q<sub>7<\/sub> = 1 &#8211; R<sub>7<\/sub> = 1 &#8211; 0.7 = 0.3<\/p>\n<p>Since Q<sub>S2<\/sub> and Q<sub>7<\/sub> are in parallel, the total system unreliability is<\/p>\n<p>Q<sub>AC<\/sub> = Q<sub>S2<\/sub>\u00a0\u00b7 Q<sub>7<\/sub> = (0.207)(0.3) = 0.0621 and the total network reliability is<\/p>\n<p>R<sub>AC<\/sub> = 1 &#8211; Q<sub>AC<\/sub> = 1 &#8211; 0.0621 = 0.938<\/p>\n<p>thus, the reliability of the combined network is 0.94, rounded to two decimal places.<\/p>\n<p>The <a href=\"http:\/\/reliabilityanalyticstoolkit.appspot.com\/system_states\">System State Enumeration tool from the Reliability Analytics Toolkit<\/a> can be easily be applied to solve this and similar problems, using similar series-parallel decomposition methods.<\/p>\n<p>&nbsp;<\/p>\n<p>References:<\/p>\n<p style=\"padding-left: 30px;\">1. MIL-HDBK-338, <a href=\"https:\/\/assist.daps.dla.mil\/quicksearch\/basic_profile.cfm?ident_number=54022\">Electronic Reliability Design Handbook<\/a>, 15 Oct 84<br \/>\n2. Bazovsky, Igor, <a href=\"http:\/\/www.amazon.com\/gp\/product\/0486438678?ie=UTF8&amp;tag=reliabilityan-20&amp;linkCode=as2&amp;camp=1789&amp;creative=9325&amp;creativeASIN=0486438678\">Reliability Theory and Practice<\/a><br \/>\n3. O\u2019Connor, Patrick, D. T., <a href=\"http:\/\/www.amazon.com\/gp\/product\/0470844620?ie=UTF8&amp;tag=reliabilityan-20&amp;linkCode=as2&amp;camp=1789&amp;creative=9325&amp;creativeASIN=0470844620\">Practical Reliability Engineering<\/a><br \/>\n4. Birolini, Alessandro, <a href=\"http:\/\/www.amazon.com\/gp\/product\/3540493883?ie=UTF8&amp;tag=reliabilityan-20&amp;linkCode=as2&amp;camp=1789&amp;creative=9325&amp;creativeASIN=3540493883\">Reliability Engineering: Theory and Practice<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Most practical equipments and systems are combinations of series and parallel components as shown below To solve this network, one merely uses series and parallel relationships to decompose and recombine the network step by step.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[59,55],"tags":[58],"class_list":["post-427","post","type-post","status-publish","format-standard","hentry","category-reliability-modeling","category-system-modeling","tag-system-modeling-2"],"_links":{"self":[{"href":"https:\/\/reliabilityanalytics.com\/blog\/wp-json\/wp\/v2\/posts\/427","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/reliabilityanalytics.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/reliabilityanalytics.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/reliabilityanalytics.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/reliabilityanalytics.com\/blog\/wp-json\/wp\/v2\/comments?post=427"}],"version-history":[{"count":6,"href":"https:\/\/reliabilityanalytics.com\/blog\/wp-json\/wp\/v2\/posts\/427\/revisions"}],"predecessor-version":[{"id":722,"href":"https:\/\/reliabilityanalytics.com\/blog\/wp-json\/wp\/v2\/posts\/427\/revisions\/722"}],"wp:attachment":[{"href":"https:\/\/reliabilityanalytics.com\/blog\/wp-json\/wp\/v2\/media?parent=427"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/reliabilityanalytics.com\/blog\/wp-json\/wp\/v2\/categories?post=427"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/reliabilityanalytics.com\/blog\/wp-json\/wp\/v2\/tags?post=427"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}