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Aircraft Numerical "Twin": A Time Series Regression Competition

Adrien Pavao, Isabelle Guyon, Nachar Stephane, Fabrice Lebeau, Martin Ghienne, Ludovic Platon, Tristan Barbagelata, Pierre Escamilla, Sana Mzali, Meng Liao, Sylvain Lassonde, Antonin Braun (+19 others)
2021 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)  
This paper presents the design and analysis of a data science competition on a problem of time series regression from aeronautics data.  ...  For the purpose of performing predictive maintenance, aviation companies seek to create aircraft "numerical twins", which are programs capable of accurately predicting strains at strategic positions in  ...  The teams had to tackle a multivariate time-series regression task, involving aeronautics data from test flights of Dassault Aviation aircraft.  ... 
doi:10.1109/icmla52953.2021.00075 fatcat:ums54eyqqbajla266s7qlfp34a

A Comprehensive Review of Digital Twin – Part 1: Modeling and Twinning Enabling Technologies [article]

Adam Thelen, Xiaoge Zhang, Olga Fink, Yan Lu, Sayan Ghosh, Byeng D. Youn, Michael D. Todd, Sankaran Mahadevan, Chao Hu, Zhen Hu
2022 arXiv   pre-print
In a two-part series of papers, we examine the fundamental role of different modeling techniques, twinning enabling technologies, and uncertainty quantification and optimization methods commonly used in  ...  This first paper presents a thorough literature review of digital twin trends across many disciplines currently pursuing this area of research.  ...  As a result, it can capture long-term dependencies in time series data.  ... 
arXiv:2208.14197v1 fatcat:5s4564bhmrdyppndd4hhqihqie

A Comprehensive Review of Digital Twin – Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives [article]

Adam Thelen, Xiaoge Zhang, Olga Fink, Yan Lu, Sayan Ghosh, Byeng D. Youn, Michael D. Todd, Sankaran Mahadevan, Chao Hu, Zhen Hu
2022 arXiv   pre-print
In a two-part series of papers, we examine the fundamental role of different modeling techniques, twinning enabling technologies, and uncertainty quantification and optimization methods commonly used in  ...  Additionally, this paper presents a case study where a battery digital twin is constructed and tested to illustrate some of the modeling and twinning methods reviewed in this two-part review.  ...  Introduction This paper is the second in a series of two that analyze the role of modeling and twinning enabling technologies, uncertainty quantification (UQ), and optimization in digital twins.  ... 
arXiv:2208.12904v1 fatcat:x3skofkuivezrbyyvr7bpchx2q

Fuel Burn and CO2 System-Wide Assessment of Environmentally Responsible Aviation Technologies

Hernando Jiminez, Holger Pfaender, Dimitri Mavris
2012 Journal of Aircraft  
If the state of the art of modeling advances to the point where the execution resources and computation time is competitive with that of a surrogate function, then the advantages of the latter may have  ...  Regressions on an aircraft type basis thus offer a simple yet powerful estimation mechanism.  ... 
doi:10.2514/1.c031755 fatcat:ez2f3tepyfblrjtfplmvowhmnm

Data-Driven Aerospace Engineering: Reframing the Industry with Machine Learning [article]

Steven L. Brunton, J. Nathan Kutz, Krithika Manohar, Aleksandr Y. Aravkin, Kristi Morgansen, Jennifer Klemisch, Nicholas Goebel, James Buttrick, Jeffrey Poskin, Agnes Blom-Schieber, Thomas Hogan, Darren McDonald
2020 arXiv   pre-print
This review will include a retrospective, an assessment of the current state-of-the-art, and a roadmap looking forward.  ...  The aerospace industry is poised to capitalize on big data and machine learning, which excels at solving the types of multi-objective, constrained optimization problems that arise in aircraft design and  ...  At this time, no single vehicle design is a clear frontrunner, and as with traditional fixed wing aircraft, the most likely outcome will be a series of vehicle designs from companies that will share the  ... 
arXiv:2008.10740v1 fatcat:wjbnr2wqibhebe64qnlyhvykdm

Using Artificial Neural Networks and Self-Organizing Maps for Detection of Airframe Icing

Matthew D. Johnson, Kamran Rokhsaz
2001 Journal of Aircraft  
NASA, using a DHC-6 Twin Otter aircraft, carried out most of the flight tests associated with this research.’~'?  ...  They used the modified stepwise regression (MSR) method for parameter identification to determine some of the longitudinal stability and control derivatives of the Twin Otter with and without simulated  ... 
doi:10.2514/2.2779 fatcat:v5rjbwvu3ze2jh7gn2c7vdg3zm

Schedule creep – In search of an uncongested baseline block time by examining scheduled flight block times worldwide 1986–2016

Terence Ping Ching Fan
2019 Transportation Research Part A: Policy and Practice  
time is a reasonable estimate even if aircraft types are not explicitly accounted for.  ...  changes in crude oil price, scheduled block times have been growing at a pace between 0.21 and 0.33 min per year depending on the regression model, or a total of between 6.2 and 9.8 min per flight from  ...  twin goals of estimating any systematic, long-term schedule creep and a baseline of reference block times.  ... 
doi:10.1016/j.tra.2019.01.006 fatcat:b2gp7qbbffhsxkdyznaefhvenm

Interrupted innovation: emerging economies in the structure of the global aerospace industry

Dániel Vértesy
2012 Innovation and Development  
In 1946 the first bomber in Latin America flew for the first time, the twin-engine IAe 24 Calquin (Royal Eagle), of which the military procured a series of 100.  ...  pressurized executive twin-turboprop), and the EMB-120 Brasilia (a pressurized 30-seater twin-turboprop commuter).  ...  added in transport equipment manufacturing value added over a benchmark period of 1990-95.  ... 
doi:10.1080/2157930x.2012.663587 fatcat:xaqeqpsfvbhf5lycvwb7dqe63i

Assessment of Spatial Location and Air Transport Patterns of Minnesota's Medical Device Industry Cluster

2021 Journal of Strategic Innovation and Sustainability  
The spatial analysis showed that most medical device companies are located within the seven-county Twin-Cities region, but that industries linked to the medical device industry cluster are much more dispersed  ...  Minnesota's medical device industry cluster is not only one of the biggest driving economic forces in the state, but also a global leader in the development and distribution of medical devices.  ...  ACKNOWLEDGMENTS This study was conducted as part of the Transportation Policy and Economic Competitiveness (TPEC) research program of the State and Local Policy Program of the University of Minnesota's  ... 
doi:10.33423/jsis.v16i2.4301 fatcat:rhejyew62ffj3gpokfxdrhw2q4

Sustainable Aviation Electrification: A Comprehensive Review of Electric Propulsion System Architectures, Energy Management, and Control

Jinning Zhang, Ioannis Roumeliotis, Argyrios Zolotas
2022 Sustainability  
Then, the challenges and technical barriers of electrified aircraft propulsion control system design are discussed, followed by a summary of the control methods frequently used in aircraft propulsion systems  ...  Firstly, the architectures of electrified aircraft propulsion are presented with a detailed analysis of the benefits, challenges, and studies/applications to date.  ...  All-electric aircraft are identified as a feasible and cost-competitive approach to reduce the environmental impacts of short-haul flights, including vertical take-off and landing aircraft (eVTOLs) [11  ... 
doi:10.3390/su14105880 fatcat:3ympviy5k5faplzoi5qgwuz5bu

Predicting Peer-to-Peer Loan Rates Using Bayesian Non-Linear Regression

Zsolt Bitvai, Trevor Cohn
2015 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
Here we consider modelling market rates, developing a non-linear Gaussian Process regression method which incorporates both structured data and unstructured text from the loan application.  ...  Peer-to-peer lending is a new highly liquid market for debt, which is rapidly growing in popularity.  ...  Note, if we had a time series of market depth for each loan, that would allow for more sound empirical evaluation here.  ... 
doi:10.1609/aaai.v29i1.9515 fatcat:z2e3rl5vmncizeehjcfppaenki

Exploration and Practice of Digital Factory of Complex Electronic Equipment

Hu Changming, Cao Yaqi, Zhu Zhaoyu
2020 IOP Conference Series: Materials Science and Engineering  
In recent years, the product information and physical entities in the virtual environment of Digital Twin system are mapped to each other to optimize and control the manufacturing process in real time.  ...  At the same time, for the complex discrete manufacturing process of engines, GE has established a powerful production management and manufacturing execution system, which combines lean concepts with automation  ...  Based on the above mentioned digital factory architecture, and need to explore a series of key technologies, including production operation control technology, digital twin dynamic perception and fusion  ... 
doi:10.1088/1757-899x/739/1/012048 fatcat:ihriwp6pbvg2hk7ylonbxxjeuq

High resolution satellite imaging sensors for precision agriculture

Chenghai YANG
2018 Frontiers of Agricultural Science and Engineering  
Various types of remote sensors carried on groundbased platforms, manned aircraft, satellites, and more recently, unmanned aircraft have been used for precision agriculture applications.  ...  Since the first high resolution satellite sensor IKONOS was launched in 1999, numerous commercial high resolution satellite sensors have become available.  ...  This article is a review and does not contain any studies with human or animal subjects performed by the author.  ... 
doi:10.15302/j-fase-2018226 fatcat:cd54shvpcvfivkmnjuwualjwey

Horizontal Tail Maneuver Load Predictions Using Backpropagation Neural Networks

David Kim, MacIej Marciniak
2002 Journal of Aircraft  
The optimum number of neurons is then found by adding or subtracting a few neurons at a time and retraining the net.  ...  Competition among local experts is encouraged, so that, for a given input vector, the gating network will tend to choose a single local expert rather than a mixture of them.  ... 
doi:10.2514/2.2936 fatcat:ry2rzsadmrbl5blw3yzbkrv4am

Identifying Economically Optimal Flight Techniques of Transport Aircraft

Askin T. Isikveren
2002 Journal of Aircraft  
or learning curve asymptote; main, a Constant coupling the influence of segment flight time to the flight hour cost; and Byain, a potential regression fit.  ...  ., “Some Aspects of Aircraft Design and Aircraft Operation,” IKP/Flumes, Linkopings Universitet, Aircraft Design Lecture Series, Swe- den, 1996. '8“Pan-Am Flight Operations Manual,” rev. 228, New York,  ... 
doi:10.2514/2.2982 fatcat:ki7fvcq4cfaphmlqlx554x4wya
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