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
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
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.

More books from CRC Press

Cover of the book Electronic Servicing and Repairs by Nordin Saad, Muhammad Irfan, Rosdiazli Ibrahim
Cover of the book Long Lived States In Collisions by Nordin Saad, Muhammad Irfan, Rosdiazli Ibrahim
Cover of the book Virtual Vixens by Nordin Saad, Muhammad Irfan, Rosdiazli Ibrahim
Cover of the book Asthma, COPD, and Overlap by Nordin Saad, Muhammad Irfan, Rosdiazli Ibrahim
Cover of the book Managing Project Competence by Nordin Saad, Muhammad Irfan, Rosdiazli Ibrahim
Cover of the book Systems Architecting of Organizations by Nordin Saad, Muhammad Irfan, Rosdiazli Ibrahim
Cover of the book Handbook of Mammalian Metabolism of Plant Compounds (1991) by Nordin Saad, Muhammad Irfan, Rosdiazli Ibrahim
Cover of the book Cognitive Vehicular Networks by Nordin Saad, Muhammad Irfan, Rosdiazli Ibrahim
Cover of the book Nanoscale Devices by Nordin Saad, Muhammad Irfan, Rosdiazli Ibrahim
Cover of the book Building Services Engineering by Nordin Saad, Muhammad Irfan, Rosdiazli Ibrahim
Cover of the book Building on Soft Soils by Nordin Saad, Muhammad Irfan, Rosdiazli Ibrahim
Cover of the book Basics of Ecotoxicology by Nordin Saad, Muhammad Irfan, Rosdiazli Ibrahim
Cover of the book Friday Forever by Nordin Saad, Muhammad Irfan, Rosdiazli Ibrahim
Cover of the book Proceedings of the 43rd Industrial Waste Conference May 1988, Purdue University by Nordin Saad, Muhammad Irfan, Rosdiazli Ibrahim
Cover of the book An Approach to Improving Decision-Making in Wetland Restoration and Creation by Nordin Saad, Muhammad Irfan, Rosdiazli Ibrahim
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy