This paper describes an anomaly detection algorithm by monitoring the spin-down of jet engines. The speed profile from multiple engines in an aircraft is cast as a singular value monitoring problem. This relatively simple algorithm is an excellent example of on-board, lightweight feature extractor, the results of which can feed more elaborate trouble shooting procedures. The effectiveness of the algorithm is demonstrated using aircraft data from one of Honeywell's airline customers. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Mylaraswamy, D. (2005). Anomaly detection in a multi-engine aircraft. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3776 LNCS, pp. 176–181). https://doi.org/10.1007/11590316_22
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