MARC Record from marc_columbia

LEADER: 03841cam a2200613 i 4500
001 15133603
005 20210607115823.0
006 m o d
007 cr |||||||||||
008 180319s2018 flu ob 001 0 eng
010 $a 2020691844
035 $a(OCoLC)on1044734317
035 $a(NNC)15133603
040 $aDLC$beng$erda$cDLC$dYDX$dNLE$dUKMGB$dS9I$dTYFRS$dUKAHL$dN$T$dOCLCO
015 $aGBB8D8760$2bnb
016 7 $a018982628$2Uk
020 $a9781351172547$qepub
020 $a1351172549
020 $a9781351172561$qebook
020 $a1351172565
020 $z9780815389958$qhardback : acid-free paper
020 $z0815389957
020 $a9781351172554
020 $a1351172557
024 8 $a10.1201/9781351172561$2doi
035 $a(OCoLC)1044734317
037 $a9781351172547$bIngram Content Group
050 00 $aTK2785
072 7 $aTEC$x009070$2bisacsh
072 7 $aTJF$2bicscc
082 00 $a621.46$223
049 $aZCUA
100 1 $aSaad, Nordin,$eauthor.
245 10 $aCondition monitoring and faults diagnosis of induction motors :$belectrical signature analysis /$cNordin Saad, Muhammad Irfan, and Rosdiazli Ibrahim.
264 1 $aBoca Raton, FL :$bCRC Press/Taylor and Francis Group,$c2018.
300 $a1 online resource
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
347 $adata file$2rda
500 $a"A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc."
504 $aIncludes bibliographical references and index.
520 $aThe purpose of this book is to explore developments in the condition monitoring and diagnostic approach of induction motors using electrical signature analysis of motor currents. It covers various issues related to machinery condition monitoring, signal processing and conditioning, instrumentation and measurements, faults for induction motors failures, new trends in condition monitoring, and pays special attention to the fault identification process using motor currents electrical signature analysis. The book presents a new non-invasive and non-intrusive condition monitoring system, which has the capability to detect various defects in induction motor at incipient stages within an arbitrary noise conditions. An adaptive threshold has been designed to deal with signal noise ambiguities for decision-making on the existence of small fault signatures. The performance of the developed system has been analyzed theoretically and experimentally under various loading conditions of the motor$cProvided by publisher.
588 $aDescription based on print version record.
505 0 $aChapter 1 Introduction to Condition Monitoring of Electrical Machines -- chapter 2 Background on Condition Monitoring Techniques -- chapter 3 Noninvasive Methods for Motor Fault Diagnosis -- chapter 4 Design and Development of a Noninvasive Condition Monitoring System -- chapter 5 Faults Analysis and Evaluations via IPA and PVA Methods -- chapter 6 Summary on Noninvasive Electrical Signature Analysis Methods: IPA and PVA.
650 0 $aElectric motors, Induction$xTesting.
650 7 $aTECHNOLOGY & ENGINEERING / Mechanical$2bisacsh
650 7 $aElectric motors, Induction$xTesting.$2fast$0(OCoLC)fst00905313
655 4 $aElectronic books.
700 1 $aIrfan, Muhammad,$eauthor.
700 1 $aIbrahim, Rosdiazli,$eauthor.
776 08 $iPrint version:$tCondition monitoring and faults diagnosis of induction motors$dBoca Raton, FL : CRC Press/Taylor & Francis Group, 2018.$z9780815389958 (hardback : acid-free paper)$w(DLC) 2018010558
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15133603$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS