000 03641cam a2200601 i 4500
001 on1104907810
003 OCoLC
005 20220711203549.0
006 m o d
007 cr cnu---unuuu
008 190611t20202020nju ob 001 0 eng
010 _a 2019024457
040 _aDLC
_beng
_erda
_cDLC
_dOCLCO
_dOCLCF
_dDG1
_dUKAHL
_dRECBK
_dUIU
_dN$T
_dYDX
_dYUS
019 _a1131862806
020 _a9781119544647
_qelectronic book
020 _a1119544645
_qelectronic book
020 _a1119544637
_qelectronic book
020 _a9781119544678
_qelectronic book
020 _a111954467X
_qelectronic book
020 _a9781119544630
_qelectronic book
020 _z9781119544623
_qhardcover
020 _z1119544629
_qhardcover
024 8 _a16293649
029 1 _aAU@
_b000065816555
035 _a(OCoLC)1104907810
_z(OCoLC)1131862806
042 _apcc
050 0 4 _aTJ177
_b.A36 2020
082 0 0 _a621.8028/7
_223
049 _aMAIN
100 1 _aAhmed, Hosameldin,
_d1976-
_eauthor.
_98838
245 1 0 _aCondition monitoring with vibration signals :
_bcompressive sampling and learning algorithms for rotating machines /
_cHosameldin Ahmed and Asoke K. Nandi.
264 1 _aHoboken, NJ, USA :
_bJohn Wiley & Sons, Inc.,
_c2020.
264 4 _c©2020
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
504 _aIncludes bibliographical references and index.
520 _a"This book attempts to outline the complete guide from the basics of rotating machine to the generation of knowledge using vibration signals. It is provided with an introduction to rotating machine and vibration signals produced from it at a level which can be easily understood by readers such as post-graduate students, researchers, and practicing engineers. The introduction helps those readers to get introduced to the basic knowledge needed to appreciate the specific application of the methods in this book. Based on the stages of machine condition monitoring framework and the aim to design an effective technique for fault detection and classification of rotating machine, a major part of the book will cover various feature extraction, feature selection, and classification methods as well as their applications to machine vibration datasets. Moreover, this book presents new methods including machine learning and compressive sampling. These offer significant improvements in accuracy with reduced computational costs. It is important that these are made available to all researchers as well as practitioners and new people coming into this field to help improve safety, reliability, and performance"--
_cProvided by publisher.
588 _aDescription based on online resource; title from digital title page (viewed on February 28, 2020).
650 0 _aMachinery
_xMonitoring.
_98839
650 0 _aMachinery
_xVibration
_xMeasurement.
_98840
650 0 _aRotors
_xMaintenance and repair.
_98841
650 7 _aTECHNOLOGY & ENGINEERING / Signals & Signal Processing.
_2bisacsh
_96567
650 7 _aMachinery
_xMonitoring.
_2fast
_0(OCoLC)fst01004993
_98839
650 7 _aMachinery
_xVibration
_xMeasurement.
_2fast
_0(OCoLC)fst01005031
_98840
655 4 _aElectronic books.
_93294
700 1 _aNandi, Asoke Kumar,
_eauthor.
_98842
776 0 8 _iPrint version:
_aNandi, Asoke Kumar.
_tCondition monitoring with vibration signals
_dHoboken, NJ, USA : Wiley-IEEE Press, 2019.
_z9781119544623
_w(DLC) 2019024456
856 4 0 _uhttps://doi.org/10.1002/9781119544678
_zWiley Online Library
942 _cEBK
994 _aC0
_bDG1
999 _c69214
_d69214