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Condition monitoring and faults diag...

Saad, Nordin.

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Condition monitoring and faults diagnosis of induction motors = electrical signature analysis /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Condition monitoring and faults diagnosis of induction motors/ Nordin Saad, Muhammad Irfan, Rosdiazli Ibrahim.
Reminder of title:	electrical signature analysis /
Author:	Saad, Nordin.
other author:	Irfan, Muhammad.
Published:	Boca Raton, FL :CRC Press, : c2019.,
Description:	1 online resource (170 p.) :ill., map.
[NT 15003449]:	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.
Subject:	Electric motors, Induction - Testing. -
Online resource:	https://www.taylorfrancis.com/books/9781351172561
ISBN:	9781351172561

Condition monitoring and faults diagnosis of induction motors = electrical signature analysis /
Saad, Nordin.

Condition monitoring and faults diagnosis of induction motorselectrical signature analysis /[electronic resource] :Nordin Saad, Muhammad Irfan, Rosdiazli Ibrahim. - 1st ed. - Boca Raton, FL :CRC Press,c2019. - 1 online resource (170 p.) :ill., map.

Includes bibliographical references and index.

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.

The book 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 the fault identification process using motor currents electrical signature analysis. It aims to present 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. The performance of the developed system has been analyzed theoretically and experimentally under various loading conditions of the motor.

ISBN: 9781351172561Subjects--Topical Terms:

3512534
Electric motors, Induction
--Testing.

LC Class. No.: TK2785 / .S23 2019

Dewey Class. No.: 621.46

Condition monitoring and faults diagnosis of induction motors = electrical signature analysis /
LDR:01954cmm a2200241 a 4500 001 2247927
006 m o d
007 cr cnu---unuuu
008 211227s2019 fluab ob 001 0 eng d
020 $a 9781351172561 $q (e-book ; $q PDF)
020 $z 9780815389958
035 $a 9781351172561
040 $a FlBoTFG $b eng $c FlBoTFG
050 4 $a TK2785 $b .S23 2019
082 0 4 $a 621.46 $2 23
100 1 $a Saad, Nordin. $3 3487041
245 1 0 $a Condition monitoring and faults diagnosis of induction motors $h [electronic resource] : $b electrical signature analysis / $c Nordin Saad, Muhammad Irfan, Rosdiazli Ibrahim.
250 $a 1st ed.
260 $a Boca Raton, FL : $b CRC Press, $c c2019.
300 $a 1 online resource (170 p.) : $b ill., map.
504 $a Includes bibliographical references and index.
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.
520 3 $a The book 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 the fault identification process using motor currents electrical signature analysis. It aims to present 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. The performance of the developed system has been analyzed theoretically and experimentally under various loading conditions of the motor.
588 $a Description based on print version record.
650 0 $a Electric motors, Induction $x Testing. $3 3512534
700 1 $a Irfan, Muhammad. $3 3512532
700 1 $a Ibrahim, Rosdiazli. $3 3512533
856 4 0 $u https://www.taylorfrancis.com/books/9781351172561