000 | 03212nam a22005895i 4500 | ||
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001 | 978-3-662-53430-4 | ||
003 | DE-He213 | ||
005 | 20220801222122.0 | ||
007 | cr nn 008mamaa | ||
008 | 161222s2017 gw | s |||| 0|eng d | ||
020 |
_a9783662534304 _9978-3-662-53430-4 |
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024 | 7 |
_a10.1007/978-3-662-53430-4 _2doi |
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050 | 4 | _aTL1-4050 | |
072 | 7 |
_aTRP _2bicssc |
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072 | 7 |
_aTTDS _2bicssc |
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072 | 7 |
_aTEC002000 _2bisacsh |
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072 | 7 |
_aTRP _2thema |
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072 | 7 |
_aTTDS _2thema |
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082 | 0 | 4 |
_a629.1 _223 |
100 | 1 |
_aZhang, Jianye. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _959801 |
|
245 | 1 | 0 |
_aTime Series Analysis Methods and Applications for Flight Data _h[electronic resource] / _cby Jianye Zhang, Peng Zhang. |
250 | _a1st ed. 2017. | ||
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2017. |
|
300 |
_aX, 240 p. 161 illus., 35 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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505 | 0 | _aIntroduction -- Preprocessing of Flight Data -- Typical Time Series Analysis for Flight Data -- Similarity Search for Flight Data -- Condition Monitoring and Trend Prediction Based on Flight Data -- Design and Implementation Of flight Data Mining System. | |
520 | _aThis book focuses on different facets of flight data analysis, including the basic goals, methods, and implementation techniques. As mass flight data possesses the typical characteristics of time series, the time series analysis methods and their application for flight data have been illustrated from several aspects, such as data filtering, data extension, feature optimization, similarity search, trend monitoring, fault diagnosis, and parameter prediction, etc. An intelligent information-processing platform for flight data has been established to assist in aircraft condition monitoring, training evaluation and scientific maintenance. The book will serve as a reference resource for people working in aviation management and maintenance, as well as researchers and engineers in the fields of data analysis and data mining. | ||
650 | 0 |
_aAerospace engineering. _96033 |
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650 | 0 |
_aAstronautics. _959802 |
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650 | 0 |
_aComputational intelligence. _97716 |
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650 | 0 |
_aData mining. _93907 |
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650 | 0 |
_aArtificial intelligence. _93407 |
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650 | 1 | 4 |
_aAerospace Technology and Astronautics. _959803 |
650 | 2 | 4 |
_aComputational Intelligence. _97716 |
650 | 2 | 4 |
_aData Mining and Knowledge Discovery. _959804 |
650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
700 | 1 |
_aZhang, Peng. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _959805 |
|
710 | 2 |
_aSpringerLink (Online service) _959806 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783662534281 |
776 | 0 | 8 |
_iPrinted edition: _z9783662534298 |
776 | 0 | 8 |
_iPrinted edition: _z9783662571361 |
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-662-53430-4 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
942 | _cEBK | ||
999 |
_c80417 _d80417 |