Condition Monitoring and Faults Diagnosis of Induction Motors

Electrical Signature Analysis

Nonfiction, Science & Nature, Technology, Power Resources, Electronics
Cover of the book Condition Monitoring and Faults Diagnosis of Induction Motors by Nordin Saad, Muhammad Irfan, Rosdiazli Ibrahim, CRC Press
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Author: Nordin Saad, Muhammad Irfan, Rosdiazli Ibrahim ISBN: 9781351172547
Publisher: CRC Press Publication: July 11, 2018
Imprint: CRC Press Language: English
Author: Nordin Saad, Muhammad Irfan, Rosdiazli Ibrahim
ISBN: 9781351172547
Publisher: CRC Press
Publication: July 11, 2018
Imprint: CRC Press
Language: English

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.

  • Covers current and new approaches applied to fault diagnosis and condition monitoring.
  • Integrates concepts and practical implementation of electrical signature analysis.
  • Utilizes LabVIEW tool for condition monitoring problems.
  • Incorporates real-world case studies.
  • Paves way a technology potentially for prescriptive maintenance via IIoT.
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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