{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,20]],"date-time":"2025-11-20T14:32:10Z","timestamp":1763649130434,"version":"3.45.0"},"reference-count":10,"publisher":"American Institute of Aeronautics and Astronautics (AIAA)","issue":"12","funder":[{"DOI":"10.13039\/100008665","name":"Universit\u00e9 du Luxembourg","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100008665","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000844","name":"European Space Agency","doi-asserted-by":"publisher","award":["ESA Contract No.\u00a0400134792\/21\/NL\/GLC\/my"],"award-info":[{"award-number":["ESA Contract No.\u00a0400134792\/21\/NL\/GLC\/my"]}],"id":[{"id":"10.13039\/501100000844","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["arc.aiaa.org"],"crossmark-restriction":true},"short-container-title":["Journal of Aerospace Information Systems"],"published-print":{"date-parts":[[2023,12]]},"abstract":"<jats:p>We explore the feasibility of onboard anomaly detection using artificial neural networks for CubeSat systems and related spacecraft where computing resources are limited. We gather data for training and evaluation using a CubeSat in a laboratory for a scenario where a malfunctioning component affects temperature fluctuations across the control system. This data, published in an open repository, guides the selection of suitable features, neural network architecture, and metrics comprising our anomaly detection algorithm. The precision and recall of the algorithm demonstrate improvements as compared to out-of-limit methods, whereas our open-source implementation for a typical microcontroller exhibits small memory overhead, and hence may coexist with existing control software without introducing new hardware. These features make our solution feasible to deploy on board a CubeSat, and thus on other, more advanced types of satellites.<\/jats:p>","DOI":"10.2514\/1.i011232","type":"journal-article","created":{"date-parts":[[2023,8,25]],"date-time":"2023-08-25T04:13:01Z","timestamp":1692936781000},"page":"859-872","update-policy":"https:\/\/doi.org\/10.2514\/aiaa_crossmarkpolicy","source":"Crossref","is-referenced-by-count":6,"title":["Anomaly Detection Using Deep Learning Respecting the Resources on Board a CubeSat"],"prefix":"10.2514","volume":"20","author":[{"given":"Ross","family":"Horne","sequence":"first","affiliation":[{"name":"University of Luxembourg"}]},{"given":"Sjouke","family":"Mauw","sequence":"additional","affiliation":[{"name":"University of Luxembourg"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6351-2877","authenticated-orcid":false,"given":"Andrzej","family":"Mizera","sequence":"additional","affiliation":[{"name":"IDEAS-NCBR, Chmielna 69, 00-801 Warsaw, Poland"}]},{"given":"Andr\u00e9","family":"Stemper","sequence":"additional","affiliation":[{"name":"University of Luxembourg"}]},{"given":"Jan","family":"Thoemel","sequence":"additional","affiliation":[{"name":"University of Luxembourg"}]}],"member":"1387","reference":[{"key":"r1","unstructured":"\u201cCubeSat Design Specification (CDS) Rev. 13,\u201d The CubeSat Program, California Polytechnic State Univ., San Luis Obispo, CA, 2015."},{"key":"r2","unstructured":"\u201c6U CubeSat Design Specification Revision 1.0,\u201d The CubeSat Program, California Polytechnic State Univ., TR CP-6UCDS-1.0, San Luis Obispo, CA, 2016."},{"issue":"4","key":"r3","volume":"7","author":"Stesina F.","year":"2020","journal-title":"MDPI Aerospace"},{"key":"r4","doi-asserted-by":"publisher","DOI":"10.1163\/9789004527270_008"},{"key":"r6","unstructured":"De Claville ChristiansenJ. \u201cCubeSat Space Protocol (CSP): Network-Layer Delivery Protocol for CubeSats and Embedded Systems,\u201d GOMSpace ApS TR GS-CSP-1.1, Aalborg, Denmark, 2011."},{"key":"r8","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2017.2671247"},{"key":"r12","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v35i4.2553"},{"key":"r13","doi-asserted-by":"publisher","DOI":"10.1016\/j.arcontrol.2020.04.012"},{"key":"r14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2018.05.050"},{"key":"r16","doi-asserted-by":"publisher","DOI":"10.1145\/2907070"}],"container-title":["Journal of Aerospace Information Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/arc.aiaa.org\/doi\/pdf\/10.2514\/1.I011232","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,20]],"date-time":"2025-11-20T14:28:42Z","timestamp":1763648922000},"score":1,"resource":{"primary":{"URL":"https:\/\/arc.aiaa.org\/doi\/10.2514\/1.I011232"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12]]},"references-count":10,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2023,12]]}},"alternative-id":["10.2514\/1.I011232"],"URL":"https:\/\/doi.org\/10.2514\/1.i011232","relation":{},"ISSN":["1940-3151","2327-3097"],"issn-type":[{"type":"print","value":"1940-3151"},{"type":"electronic","value":"2327-3097"}],"subject":[],"published":{"date-parts":[[2023,12]]},"assertion":[{"value":"2022-12-19","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-06-29","order":1,"name":"revised","label":"Revised","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-06-29","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-08-25","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}