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£118.37
Springer - Time Series Analysis Methods for Flight Data
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Description
Key Features
Covers essential flight data analysis goals, methods, and practical implementation techniques for technical professionals.
Explains time series analysis methods specifically applied to the unique characteristics of mass flight data.
Provides detailed guidance on data filtering, data extension, and feature optimization for cleaner datasets.
Includes methods for similarity search, trend monitoring, and fault diagnosis to improve data accuracy.
Discusses parameter prediction and the use of intelligent information-processing platforms for aircraft monitoring.
Supports advanced applications in aircraft condition monitoring and training through structured data processing.
Product Specifications
- Brand
- Springer
- Format
- paperback
- ASIN
- 3662571366
- Domain
- Amazon UK
- Release Date
- 07 July 2018
- Listed Since
- 09 July 2018
Barcode
No barcode data available
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