Condition monitoring and faults diagnosis of induction motors : electrical signature analysis / Nordin Saad, Muhammad Irfan, and Rosdiazli Ibrahim.
The 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 a...
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Full Text (via Taylor & Francis) |
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| Main Authors: | , , |
| Format: | eBook |
| Language: | English |
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Boca Raton, FL :
CRC Press/Taylor and Francis Group,
2018.
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| Subjects: |
MARC
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| 100 | 1 | |a Saad, Nordin, |e author. |0 http://id.loc.gov/authorities/names/n2018000060 | |
| 245 | 1 | 0 | |a Condition monitoring and faults diagnosis of induction motors : |b electrical signature analysis / |c Nordin Saad, Muhammad Irfan, and Rosdiazli Ibrahim. |
| 264 | 1 | |a Boca Raton, FL : |b CRC Press/Taylor and Francis Group, |c 2018. | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a volume |b nc |2 rdacarrier | ||
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| 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 | |a Includes bibliographical references and index. | ||
| 520 | |a The 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 |c Provided by publisher. | ||
| 588 | |a Description based on print version record. | ||
| 505 | 0 | |a Chapter 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 | |a Electric motors, Induction |x Testing. | |
| 650 | 7 | |a Electric motors, Induction |x Testing. |2 fast | |
| 700 | 1 | |a Irfan, Muhammad, |e author. |0 http://id.loc.gov/authorities/names/n2018015924 |1 http://isni.org/isni/000000050027608X | |
| 700 | 1 | |a Ibrahim, Rosdiazli, |e author. |0 http://id.loc.gov/authorities/names/n2018000057 | |
| 758 | |i has work: |a Condition Monitoring and Faults Diagnosis of Induction Motors (Text) |1 https://id.oclc.org/worldcat/entity/E39PD3rBP6kgFkyKY6TkJxycRq |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |t Condition monitoring and faults diagnosis of induction motors |d Boca Raton, FL : CRC Press/Taylor & Francis Group, 2018. |z 9780815389958 (hardback : acid-free paper) |w (DLC) 2018010558 |
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