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Erschienen in:
2017 | OriginalPaper | Buchkapitel
6. Design and Implementation of Flight Data Mining System
verfasst von : Jianye Zhang, Peng Zhang
Erschienen in: Time Series Analysis Methods and Applications for Flight Data
Verlag: Springer Berlin Heidelberg
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Abstract
In this chapter, a flight-data-based prototype system of data mining is designed and proposed, which is an instance of practical application of the research findings of the present study in this book. The prototype system takes advantage of the current flight data processing systems and their engineering applications, making effective use of applicable data mining systems, DBMiner for instance. It is capable of performing data query and statistics, as well as “mining out” patterns of time series. Data patterns to be mined out include those of operation conditions of aircraft parts and units and aircraft maneuverings. In addition to being capable of condition monitoring and predicating, and in particular, it works very well in engine health and trend prediction, and therefore promises a wide range of application.