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Condition monitoring and faults diagnosis of induction motors : electrical signature analysis / by Nordin Saad, Muhammad Irfan and Rosdiazli Ibrahim.

By: Saad, Nordin [author.].
Contributor(s): Irfan, Muhammad [author.] | Ibrahim, Rosdiazli [author.] | Taylor and Francis.
Material type: materialTypeLabelBookPublisher: Boca Raton, FL : CRC Press, an imprint of Taylor and Francis, [2018]Copyright date: ©2019Edition: First edition.Description: 1 online resource (170 pages) : 79 illustrations.Content type: text Media type: computer Carrier type: online resourceISBN: 9781351172561.Subject(s): TECHNOLOGY & ENGINEERING / Mechanical | Electric motors, Induction -- Testing | TECHNOLOGY & ENGINEERING / Power Resources / ElectricalAdditional physical formats: Print version: : No titleDDC classification: 621.46 Online resources: Click here to view.
Contents:
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.
Abstract: 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.
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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.

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