Anomaly detection of aircraft engine in FDR (flight data recorder) data

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dc.contributor.authorLee, Chang-Hun
dc.contributor.authorShin, Hyosang
dc.contributor.authorTsourdos, Antonios
dc.contributor.authorSkaf, Zakwan
dc.date.accessioned2019-01-09T15:28:18Z
dc.date.available2019-01-09T15:28:18Z
dc.date.issued2018-05-21
dc.description.abstractThis paper deals with detection of anomalous behaviour of aircraft engines in FDR (flight data recorder) data to improve airline maintenance operations. To this end, each FDR data that records different flight patterns is first sampled at a fixed time interval starting at the take-off phase, in order to map each FDR data into comparable data space. Next, the parameters related to the aircraft engine are only selected from the sampled FDR data. In this analysis, the feature points are chosen as the mean value of each parameter within the sampling interval. For each FDR data, the feature vector is then formed by arranging all feature points. The proposed method compares the feature vectors of all FDR data and detects an FDR data in which the abnormal behaviour of the aircraft engine is recorded. The clustering algorithm called DBSCAN (density-based spatial clustering of applications with noise) is applied for this purpose. In this paper, the proposed method is tested using realistic FDR data provided by NASA's open database. The results indicate that the proposed method can be used to automatically identify an FDR data in which the abnormal behaviour of the aircraft engine is recorded from a large amount of FDR data. Accordingly, it can be utilized for a high-level diagnosis of engine failure in airline maintenance operations.en_UK
dc.identifier.citationChang-Hun Lee, Hyo-Sang Shin, Antonios Tsourdos and Zakwan Skaf. Anomaly detection of aircraft engine in FDR (flight data recorder) data. IET 3rd International Conference on Intelligent Signal Processing (ISP 2017), 4-5 December 2017, London, UK.en_UK
dc.identifier.isbn978-1-78561-707-2
dc.identifier.urihttps://doi.org/10.1049/cp.2017.0349
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/13808
dc.language.isoenen_UK
dc.publisherIETen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectData Analyticsen_UK
dc.subjectFlight Data Recorderen_UK
dc.subjectAircraft Engineen_UK
dc.subjectMaintenance Operationen_UK
dc.titleAnomaly detection of aircraft engine in FDR (flight data recorder) dataen_UK
dc.typeConference paperen_UK

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