{"id":26324,"date":"2017-08-03T20:30:59","date_gmt":"2017-08-03T17:30:59","guid":{"rendered":"https:\/\/www.altoros.com\/blog\/?p=26324"},"modified":"2018-07-17T17:26:09","modified_gmt":"2018-07-17T14:26:09","slug":"digital-twins-for-aerospace-better-fleet-reliability-and-performance","status":"publish","type":"post","link":"https:\/\/www.altoros.com\/blog\/digital-twins-for-aerospace-better-fleet-reliability-and-performance\/","title":{"rendered":"Digital Twins for Aerospace: Better Fleet Reliability and Performance"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_79_2 counter-hierarchy ez-toc-counter ez-toc-transparent ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.altoros.com\/blog\/digital-twins-for-aerospace-better-fleet-reliability-and-performance\/#A_strategic_trend_in_2017\" >A strategic trend in 2017<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.altoros.com\/blog\/digital-twins-for-aerospace-better-fleet-reliability-and-performance\/#Value_for_aerospace\" >Value for aerospace<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.altoros.com\/blog\/digital-twins-for-aerospace-better-fleet-reliability-and-performance\/#Cost_savings_due_to_optimized_maintenance\" >Cost savings due to optimized maintenance<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.altoros.com\/blog\/digital-twins-for-aerospace-better-fleet-reliability-and-performance\/#Want_details_Watch_the_video\" >Want details? Watch the video!<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.altoros.com\/blog\/digital-twins-for-aerospace-better-fleet-reliability-and-performance\/#Further_reading\" >Further reading<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.altoros.com\/blog\/digital-twins-for-aerospace-better-fleet-reliability-and-performance\/#About_the_expert\" >About the expert<\/a><\/li><\/ul><\/nav><\/div>\n<h3><span class=\"ez-toc-section\" id=\"A_strategic_trend_in_2017\"><\/span>A strategic trend in 2017<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Today, we have the computing horsepower to create digital, mirrored replications\u2014<a href=\"https:\/\/www.altoros.com\/blog\/optimizing-the-industrial-internet-of-things-with-digital-twins\/\">digital twins<\/a>\u2014of the most complex systems and feed them with real-time data. The notion <a href=\"http:\/\/research3.fit.edu\/camid\/documents\/doc_mgr\/1221\/Origin%20and%20Types%20of%20the%20Digital%20Twin.pdf\" target=\"_blank\">was conceived<\/a> in 2002 at the University of Michigan and then <a href=\"https:\/\/ntrs.nasa.gov\/archive\/nasa\/casi.ntrs.nasa.gov\/20120008178.pdf\" target=\"_blank\">practiced by NASA<\/a>, defense contractors, automobile manufacturers, and other sophisticated industrial organizations. For years, NASA has used digital twins <a href=\"https:\/\/www.forbes.com\/sites\/danielnewman\/2017\/05\/30\/digital-twins-the-business-imperative-you-might-not-know-about\/#2eb5ad90693c\" target=\"_blank\">to monitor<\/a> its space stations and spacecraft to ensure crew safety.<\/p>\n<p>Now, the possibility to create digital twins and feed them with real-world data is of tremendous value to Industrial Internet of Things (IIoT) developers, giving them the freedom to break and blow up stuff in the cyberworld without loss of life or resources. The ability to employ \u201cconnected high-cost assets\u201d has led Gartner to declare digital twins as one of <a href=\"https:\/\/www.gartner.com\/en\/documents\/3647717\" target=\"_blank\">10 strategic trends<\/a> for 2017.<\/p>\n<p><center><a href=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/07\/Digital-Twins-IIoT-Aerospace.jpg\"><img decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/07\/Digital-Twins-IIoT-Aerospace.jpg\" alt=\"Digital Twins IIoT Aerospace\" width=\"640\" class=\"aligncenter size-full wp-image-26540\" \/><\/a><small>Digital twin of an aircraft (<a href=\"https:\/\/www.slideshare.net\/IBMIoT\/ibm-watson-internet-of-things-introducing-digital-twin\" target=\"_blank\">Image credit<\/a>)<\/small><\/center><\/p>\n<p>Gartner defines a digital twin as \u201ca dynamic software model of a physical thing or system that relies on sensor data to understand its state, respond to changes, improve operations and add value, (representing) a combination of metadata (e.g., classification, composition, and structure) condition or state (e.g., location and temperature), event data, and analytics.\u201d<\/p>\n<p>Earlier this year, <a href=\"https:\/\/www.altoros.com\/blog\/lockheed-martin-delivers-apps-with-cloud-foundry-in-weeks-instead-of-months\/\">Lockheed Martin<\/a> unveiled the plans to expand on its <a href=\"http:\/\/www.lockheedmartin.com\/us\/what-we-do\/emerging\/advanced-manufacturing\/digital-tapestry.html\" target=\"_blank\">Digital Tapestry<\/a> strategy. Moving forward, the company intends to create digital twins for <a href=\"https:\/\/www.gilcommunity.com\/blog\/lockheed-martin-explodes-digital-tapestry\/\" target=\"_blank\">almost everything<\/a>\u2014the products, processes, and tools. By doing so, Lockheed Martin will be able to fine-tune every step in the life cycle of an aircraft.<\/p>\n<blockquote><p><em>&#8220;We are aiming to creating our own &#8216;Digiverse&#8217;\u2014a complete digital twin of everything.&#8221;<br \/>\n\u2014<a href=\"https:\/\/www.linkedin.com\/in\/meobrien\/\" target=\"_blank\">Marc O&#8217;Brien<\/a>, Lockheed Martin<\/em><\/p><\/blockquote>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Value_for_aerospace\"><\/span>Value for aerospace<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>During a <a href=\"https:\/\/www.meetup.com\/Predix\/events\/240837587\/\" target=\"_blank\">meetup<\/a> in Silicon Valley, <a href=\"https:\/\/www.linkedin.com\/in\/rbensonpaloalto\" target=\"_blank\">Robert Benson<\/a> of Mitek Analytics propounded on the use of digital twins to optimize the performance and reliability of airplanes.<\/p>\n<p><center><a href=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/07\/Predix-Digital-Twin-IIoT-Robert-Benson.jpg\"><img decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/07\/Predix-Digital-Twin-IIoT-Robert-Benson.jpg\" alt=\"Predix Digital Twin IIoT Robert Benson\" width=\"640\" class=\"aligncenter size-full wp-image-26380\" \/><\/a><\/center><\/p>\n<blockquote><p><em>&#8220;Modeling asset performance across a fleet is much faster than in real time.&#8221; \u2014Robert Benson<\/em><\/p><\/blockquote>\n<p>Robert mentioned some commonalities with manufacturing in general as well as some unique advantages to aerospace. He noted that modeling asset performance based on operational data provides scalability and a better speed than the real-time analytics. So, big advantages accrue in such areas as <a href=\"http:\/\/paas.ly\/2wlZ8dE\" target=\"_blank\">predictive health monitoring<\/a> (PHM) and <a href=\"https:\/\/misuse.ncbi.nlm.nih.gov\/error\/abuse.shtml\" target=\"_blank\">condition-based maintenance<\/a> (CBM).<\/p>\n<p>Additionally, Robert espoused the use of <a href=\"https:\/\/www.altoros.com\/blog\/tag\/machine-learning\/\">machine-learning<\/a> techniques in the high-cost world of aerospace. This leads to building model arrays that \u201cencompass each individual asset in the fleet as it evolves through its usage,\u201d then applying \u201cfleet performance data to train the model.\u201d <\/p>\n<p>According to Robert, <strong>performance digital twins<\/strong> can help to collect IIoT data from deployed assets and then model asset performance across the fleet\u2014based on operational data over many time periods. Using this data, prescriptive analytics then provides value through fleet-wide energy efficiency calibrations, condition-based maintenance, availability, and safety adjustments.<\/p>\n<p><center><a href=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/07\/Predix-Digital-Twin-IIoT-Mitek-Analytics-Performance.jpg\"><img decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/07\/Predix-Digital-Twin-IIoT-Mitek-Analytics-Performance.jpg\" alt=\"Predix Digital Twin IIoT Mitek Analytics Performance\" width=\"640\" class=\"aligncenter size-full wp-image-26726\" \/><\/a><small>Performance digital twin model (<a href=\"https:\/\/mitekan.com\/industries-top-menu\/industry-aerospace-top-menu-item\/299-fleet-analytics\" target=\"_blank\">Image credit<\/a>)<\/small><\/center><\/p>\n<p>On the other hand, <strong>reliability digital twins<\/strong> would extract information from reliability event data, such as replacement and repair dates collected during <a href=\"https:\/\/en.wikipedia.org\/wiki\/Maintenance,_repair_and_operations\" target=\"_blank\">maintenance and repair operations<\/a> (MRO) for assets in the fleet. The analytics engine for reliability digital twins is able to provide in-depth analysis of MRO data that has been gathered over time.<\/p>\n<p>Information provided by this predictive model is then used to identify negative factors at both the system and component level that lead to failure. This enables succeeding MROs to be optimized, which leads to cost savings and an increase to system availability.<\/p>\n<p>For instance, GE combines both performance and reliability with their digital twins\u2014built with the Predix platform\u2014to <a href=\"https:\/\/www.ge.com\/digital\/blog\/guiding-customers-digital-transformation-ge-digitals-edge-cloud-platform-r\" target=\"_blank\">analyze data<\/a> collected from jet engine sensors and flight recorders. By crunching this data, maintenance schedules can be optimized to prolong engine lifespans. The technology also takes climate into consideration. A plane that&#8217;s been operating for years in dry and arid regions could have its digital twin suggest redeployment to a cooler location.<\/p>\n<blockquote><p><em>&#8220;(Digital twins) can warn us and then predict failures to reduce maintenance cost and unplanned outages. It can give us the ability to optimize or provide mitigation events when we find these failures.&#8221; \u2014<a href=\"https:\/\/www.linkedin.com\/in\/colinparris\/\" target=\"_blank\">Colin Parris<\/a>, GE<\/em><\/p><\/blockquote>\n<p><center><a href=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/08\/GE-Digital-Twin-Aircraft.png\"><img decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/08\/GE-Digital-Twin-Aircraft.png\" alt=\"GE Digital Twin Aircraft\" width=\"640\" class=\"aligncenter size-full wp-image-26826\" \/><\/a><small>Digital twin gathers data from multiple sensors (<a href=\"https:\/\/www.ge.com\/digital\/blog\/digital-twins-bridge-between-industrial-assets-and-digital-world\" target=\"_blank\">Image credit<\/a>)<\/small><\/center><\/p>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Cost_savings_due_to_optimized_maintenance\"><\/span>Cost savings due to optimized maintenance<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Underperforming engines can be identified with detailed reports, which can be broken down to individual aircraft and individual flights. According to Mitek Analytics, being able to optimize scheduled maintenance for these sub-standard engines can usually bring cost savings of 2% or more. When scaled up to an entire fleet, the resources saved become even more significant.<\/p>\n<p><center><a href=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/07\/Predix-Digital-Twin-IIoT-Mitek-Analytics-Reports.jpg\"><img decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/07\/Predix-Digital-Twin-IIoT-Mitek-Analytics-Reports.jpg\" alt=\"Predix Digital Twin IIoT Mitek Analytics Reports\" width=\"640\" class=\"aligncenter size-full wp-image-26758\" \/><\/a><small>Reports generated by Mitek digital twins (<a href=\"https:\/\/mitekan.com\/industries-top-menu\/industry-aerospace-top-menu-item\/299-fleet-analytics\" target=\"_blank\">Image credit<\/a>)<\/small><\/center><\/p>\n<p>Performance improvements aren&#8217;t only limited to maintenance and operations. Airbus SE, a major player in the aerospace industry, <a href=\"https:\/\/youtu.be\/gUCCnVXgYvw?t=862\" target=\"_blank\">leverages digital twins<\/a> at the design and manufacturing level. By incorporating digital twins at this stage, engineers can discover and troubleshoot issues that occur early in the product life cycle. This leads to designs that have minimal flaws and are more efficient.<\/p>\n<blockquote><p><em>&#8220;Digital twins can help us see how the systems we want to build look like, perform, and behave under specific contexts.&#8221; \u2014Axel Mauritz, Airbus<\/em><\/p><\/blockquote>\n<p><center><a href=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/08\/Digital-Twins-IIoT-Airbus-model.jpg\"><img decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/08\/Digital-Twins-IIoT-Airbus-model.jpg\" alt=\"Digital Twins IIoT Airbus model\" width=\"640\" class=\"aligncenter size-full wp-image-26827\" \/><\/a><\/a><small>Digital model of an Airbus A350 XWB (<a href=\"https:\/\/www.4erevolution.com\/en\/3dexperience-forum-airbus-face-au-defi-de-la-montee-en-cadence-de-la350\/\" target=\"_blank\">Image credit<\/a>)<\/small><\/center><\/p>\n<p>Similarly, the US Air Force is actively <a href=\"https:\/\/arc.aiaa.org\/doi\/pdf\/10.2514\/6.2016-0897\" target=\"_blank\">conducting research<\/a> on digital twins and how it should be integrated to the entire life cycle of an aircraft. While <a href=\"https:\/\/www.quora.com\/What-is-the-difference-between-CFD-Computational-Fluid-Dynamics-and-EFD-Experimental-Fluid-Dynamics\" target=\"_blank\">computational fluid dynamics<\/a> and experimental fluid dynamics have played a major role in aerospace engineering for decades, research suggests that digital twin technology is the next evolution.<\/p>\n<p>Digital twins have already made its mark in other industries. So far, we&#8217;ve already seen their impact on <a href=\"https:\/\/www.altoros.com\/blog\/optimizing-the-industrial-internet-of-things-with-digital-twins\/\">manufacturing<\/a> and even the <a href=\"https:\/\/www.altoros.com\/webinars\/optimization-of-industrial-assets-with-digital-twins-on-predix\/\">oil-and-gas wells<\/a>. Digital twins may soon be the technology trend to further push performance and reliability for almost any asset in the IIoT space.<\/p>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Want_details_Watch_the_video\"><\/span>Want details? Watch the video!<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<div class=\"video-block\">\n<div class=\"video-block-wrap\">\n        <script charset=\"ISO-8859-1\" src=\"\/\/fast.wistia.com\/assets\/external\/E-v1.js\" async><\/script><\/p>\n<div class=\"wistia_embed wistia_async_wpeomdnw4z\" style=\"height:320px;width:440px\"><\/div>\n<\/p><\/div>\n<div class=\"video-block-descr\">\n        <strong>Table of contents<\/strong><\/p>\n<ol>\n<li>What is the difference between Industrial IoT and Consumer IoT? (<a href=\"#wistia_wpeomdnw4z?time=190\">3&#8217;10&#8221;<\/a>)<\/li>\n<li>How has Industrial IoT evolved? (<a href=\"#wistia_wpeomdnw4z?time=241\">4&#8217;01&#8221;<\/a>)<\/li>\n<li>What is a digital twin? (<a href=\"#wistia_wpeomdnw4z?time=385\">6&#8217;25&#8221;<\/a>)<\/li>\n<li>Demo: performance digital twin (<a href=\"#wistia_wpeomdnw4z?time=625\">10&#8217;25&#8221;<\/a>)<\/li>\n<li>Demo: reliability digital twin (<a href=\"#wistia_wpeomdnw4z?time=700\">11&#8217;40&#8221;<\/a>)<\/li>\n<li>How do digital twins work? (<a href=\"#wistia_wpeomdnw4z?time=885\">14&#8217;45&#8221;<\/a>)<\/li>\n<li>How is data secured in the Industrial IoT platform? (<a href=\"#wistia_wpeomdnw4z?time=1110\">18&#8217;30&#8221;<\/a>)<\/li>\n<\/ol><\/div>\n<\/div>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Further_reading\"><\/span>Further reading<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li><a href=\"https:\/\/www.altoros.com\/blog\/optimizing-the-industrial-internet-of-things-with-digital-twins\/\">Optimizing Industrial Internet of Things with Objects\u2019 Digital Twins<\/a><\/li>\n<li><a href=\"https:\/\/www.altoros.com\/blog\/industrial-internet-is-powering-more-efficient-well-drilling-for-oil-and-gas\/\">Industrial Internet Is Powering More Efficient Well Drilling for Oil and Gas<\/a><\/li>\n<li><a href=\"https:\/\/www.altoros.com\/blog\/iot-for-airlines-smart-baggage-tracking-with-rfid-tags-and-cloud-foundry\/\">IoT for Airlines: Smart Baggage Tracking with RFID Tags and Cloud Foundry<\/a><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"About_the_expert\"><\/span>About the expert<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<div>\n<div style=\"float: right;\"><a href=\"https:\/\/www.linkedin.com\/in\/rbensonpaloalto\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/07\/Robert-Benson-Mitek-Analytics-bio.png\" alt=\"Robert Benson, Mitek Analytics bio\" width=\"150\" height=\"150\" class=\"aligncenter size-full wp-image-26721\" \/><\/a><\/div>\n<div style=\"width: 600px;\"><small><a href=\"https:\/\/www.linkedin.com\/in\/colleen-briant-9517701b\/\">Robert Banson<\/a> is Director of Marketing for Mitek Analytics, a company that provides analytics engines for enterprise software applications in the Industrial Internet of Things. He is responsible for developing positioning, messages, channels, and the overall business planning. With a vast experience in product marketing, Robert has previously worked for SAP, Hewlett-Packard, and Sun Microsystems. He has also worked with the founder of the original Cloud Foundry on marketing and business planning before the PaaS was acquired by VMware.<\/small><\/div>\n<\/div>\n<hr\/>\n<p><center><small>The post is written by <a href=\"https:\/\/www.altoros.com\/blog\/author\/carlo\/\">Carlo Gutierrez<\/a> and <a href=\"https:\/\/www.altoros.com\/blog\/author\/alex\/\">Alex Khizhniak<\/a>, edited by <a href=\"https:\/\/www.altoros.com\/blog\/author\/alesia-bulanok\/\">Alesia Bulanok<\/a>.<\/small><\/center><\/p>\n","protected":false},"excerpt":{"rendered":"<p>A strategic trend in 2017<\/p>\n<p>Today, we have the computing horsepower to create digital, mirrored replications\u2014digital twins\u2014of the most complex systems and feed them with real-time data. The notion was conceived in 2002 at the University of Michigan and then practiced by NASA, defense contractors, automobile manufacturers, and other sophisticated industrial [&#8230;]<\/p>\n","protected":false},"author":32,"featured_media":26828,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","footnotes":"","_links_to":"","_links_to_target":""},"categories":[7],"tags":[898,873,815,117,748,647],"class_list":["post-26324","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-and-opinion","tag-aviation","tag-cloud-native","tag-digital-transformation","tag-iot","tag-machine-learning","tag-predix"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Digital Twins for Aerospace: Better Fleet Reliability and Performance | Altoros<\/title>\n<meta name=\"description\" content=\"Aerospace is going beyond connected machines. Digital twins enable the industry to save resources with prescriptive and predictive analytics.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.altoros.com\/blog\/digital-twins-for-aerospace-better-fleet-reliability-and-performance\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Digital Twins for Aerospace: Better Fleet Reliability and Performance | Altoros\" \/>\n<meta property=\"og:description\" content=\"A strategic trend in 2017 Today, we have the computing horsepower to create digital, mirrored replications\u2014digital twins\u2014of the most complex systems and feed them with real-time data. 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