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001 978-3-030-62749-2
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005 20220801220131.0
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008 210120s2021 sz | s |||| 0|eng d
020 _a9783030627492
_9978-3-030-62749-2
024 7 _a10.1007/978-3-030-62749-2
_2doi
050 4 _aTA213-215
072 7 _aTGB
_2bicssc
072 7 _aTEC046000
_2bisacsh
072 7 _aTGB
_2thema
082 0 4 _a621.8
_223
100 1 _aJablonski, Adam.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_948541
245 1 0 _aCondition Monitoring Algorithms in MATLAB®
_h[electronic resource] /
_cby Adam Jablonski.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aXXV, 527 p. 1026 illus., 988 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Tracts in Mechanical Engineering,
_x2195-9870
505 0 _aIntroduction -- Principles of condition monitoring systems -- Vibration components generated by rotary machinery -- Signal processing algorithms -- Vibration-based condition assessment methods -- Synthetic signals generation methods -- Simulating operational signals -- Simulating long-term machine fault development -- Analysis of long-term fault development -- Connecting MATLAB® to CMS -- Development of interface for direct data access (DDA) -- Prototype tools.
520 _aThis book offers the first comprehensive and practice-oriented guide to condition monitoring algorithms in MATLAB®. After a concise introduction to vibration theory and signal processing techniques, the attention is moved to the algorithms. Each signal processing algorithm is presented in depth, from the theory to the application, and including extensive explanations on how to use the corresponding toolbox in MATLAB®. In turn, the book introduces various techniques for synthetic signals generation, as well as vibration-based analysis techniques for large data sets. A practical guide on how to directly access data from industrial condition monitoring systems (CMS) using MATLAB® .NET Libraries is also included. Bridging between research and practice, this book offers an extensive guide on condition monitoring algorithms to both scholars and professionals. “Condition Monitoring Algorithms in MATLAB® is a great resource for anyone in the field of condition monitoring. It is a unique as it presents the theory, and a number of examples in Matlab®, which greatly improve the learning experience. It offers numerous examples of coding styles in Matlab, thus supporting graduate students and professionals writing their own codes." Dr. Eric Bechhoefer Founder and CEO of GPMS Developer of the Foresight MX Health and Usage Monitoring System.
650 0 _aMachinery.
_931894
650 0 _aSignal processing.
_94052
650 0 _aMultibody systems.
_96018
650 0 _aVibration.
_96645
650 0 _aMechanics, Applied.
_93253
650 1 4 _aMachinery and Machine Elements.
_931895
650 2 4 _aDigital and Analog Signal Processing.
_936907
650 2 4 _aMultibody Systems and Mechanical Vibrations.
_932157
710 2 _aSpringerLink (Online service)
_948542
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030627485
776 0 8 _iPrinted edition:
_z9783030627508
776 0 8 _iPrinted edition:
_z9783030627515
830 0 _aSpringer Tracts in Mechanical Engineering,
_x2195-9870
_948543
856 4 0 _uhttps://doi.org/10.1007/978-3-030-62749-2
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c78239
_d78239