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Environmentally Responsible Aviation Project
<p>Created in 2009 as part of NASA&#39;s Aeronautics Research Mission Directorate&#39;s Integrated Systems Research Program, the Environmentally Responsible Aviation (ERA) Project explores and documents the feasibility, benefits and technical risk of vehicle concepts and enabling technologies to reduce aviation&rsquo;s impact on the environment.<br /><br />Current-generation aircraft already benefit from the NASA investments in aeronautical research that have improved fuel efficiencies, lowered noise levels and reduced harmful emissions. Although substantial progress has been made, much more needs to be done.<br /><br />Forecasts call for the nation&#39;s air transportation system to expand significantly within the next two decades. Such an expansion could bring adverse environmental impacts. To neutralize or reduce these impacts is the goal of the ERA Project and its focused research.<br /><br />The project is organized to:</p><ul><li>Mature promising technology and advanced aircraft configurations that meet mid-term goals &mdash; in the next five to 10 years &mdash; for community noise, fuel burn and nitrogen oxides (NOx) emissions as described in the <a target="_blank" href="http://www.whitehouse.gov/sites/default/files/microsites/ostp/aero-rdplan-2010.pdf">National Aeronautics Research and Development Plan</a> and;</li><li>Determine the potential impact of these advanced aircraft designs and technologies if successfully implemented into the air transportation system.</li></ul><p>&nbsp;</p><p><strong>Research Challenges</strong><br />To enable advanced aircraft configurations that might enter service by 2025, the ERA Project is working on technologies that will simultaneously:</p><p>&nbsp;</p><ul><li>Reduce aircraft drag by 8%</li><li>Reduce aircraft weight by 10%</li><li>Reduce engine specific fuel consumption by 15%</li><li>Reduce oxides of nitrogen emissions of the engine by 75%</li><li>Reduce aircraft noise by 1/8 compared with current standards.</li></ul><p><br /><strong>Organization</strong><br />The ERA Project is comprised of three subprojects: Airframe Technology, Propulsion Technology and Vehicle Systems Integration. Work within the project is coordinated with system-level research performed by other programs within NASA&#39;s Aeronautics Research Mission Directorate as well as other federal government agencies.<br /><br />NASA has also put mechanisms in place to engage academia and industry, including working groups and technical interchange meetings; Space Act Agreements for cooperative partnerships; and the NASA Research Announcement process that provides for full and open competition for the best and most promising research ideas. The ERA Project disseminates all of its research results to the widest practical extent.</p>
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Greener Aviation with Virtual Sensors: A Case Study
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The environmental impact of aviation is enormous given the fact that in the US alone there are nearly 6 million flights per year of commercial aircraft. This situation has driven numerous policy and procedural measures to help develop environmentally friendly technologies which are safe and affordable and reduce the environmental impact of aviation. However, many of these technologies require significant initial investment in newer aircraft fleets and modifications to existing regulations which are both long and costly enterprises. We propose to use an anomaly detection method based on Virtual Sensors to help detect overconsumption of fuel in aircraft which relies only on the data recorded during flight of most existing commercial aircraft, thus significantly reducing the cost and complexity of implementing this method. The Virtual Sensors developed here are ensemble-learning regression models for detecting the overconsumption of fuel based on instantaneous measurements of the aircraft state. This approach requires no additional information about standard operating procedures or other encoded domain knowledge. We present experimental results on three data sets and compare five different Virtual Sensors algorithms. The first two data sets are publicly available and consist of a simulated data set from a flight simulator and a real-world turbine disk.We show the ability to detect anomalies with high accuracy on these data sets. These sets contain seeded faults, meaning that they have been deliberately injected into the system. The second data set is from realworld fleet of 84 jet aircraft where we show the ability to detect fuel overconsumption which can have a significant environmental and economic impact. To the best of our knowledge, this is the first study of its kind in the aviation domain.