Abstract
This chapter is an introduction to the methods of aircraft condition monitoring, and an elaboration of the diagnostic methods of gradual and abrupt faults based on expert system and dynamic principle component analysis. The monitoring methods introduced here are based on flexible-size grid technology, weighted least squares support vector machine and chaos theory. Both the monitoring and diagnostic methods are verified by using real data.
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© 2017 National Defense Industry Press and Springer-Verlag Berlin Heidelberg
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Zhang, J., Zhang, P. (2017). Condition Monitoring and Trend Prediction Based on Flight Data. In: Time Series Analysis Methods and Applications for Flight Data. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-53430-4_5
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DOI: https://doi.org/10.1007/978-3-662-53430-4_5
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-53428-1
Online ISBN: 978-3-662-53430-4
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