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Development of a Me...
Abstract
Ämnesord
Stäng
- There is a strong and growing interest in using the large amount of high-quality operationaldata available within an airline. One reason for this is the push by regulators to use data todemonstrate safety performance by monitoring the outputs of Safety P erformance Indicatorsrelative to targeted goals. However, the current exceedance-based approaches alone do notprovide sufficient operational risk information to support managers and operators makingproximate real-time data-driven decisions. The purpose of this study was to develop and testa set of metrics which can complement the current exceedance-based methods. The approachwas to develop two construct variables that were designed with the aim to: (1) create anaggregate construct variable that can differentiate between normal and abnormal landings(row_mean); and (2) determine if temporal sequence patterns can be detected within thedata set that can differentiate between the two landing groups (row_sequence). To assessthe differentiation ability of the aggregate constructs, a set of both statistical and visual testswere run in order to detect quantitative and qualitative differences between the data seriesrepresenting two landing groups prior to touchdown. The result, verified with a time series k-means cluster analysis, show that the composite constructs seem to differentiate normal andabnormal landings by capturing time-varying importance of individual variables in the final300 seconds before touchdown. Together the approaches discussed in this article present aninteresting and complementary way forward that should be further pursued.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Produktionsteknik, arbetsvetenskap och ergonomi (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Production Engineering, Human Work Science and Ergonomics (hsv//eng)
Nyckelord
- Industrial Engineering and Management
- Industriell ekonomi och organisation
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- art (ämneskategori)
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