Description

Book Synopsis

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.

    Table of Contents

    1. Introduction to Condition Monitoring of Electrical Machines 2. Background on Condition Monitoring Techniques 3. Noninvasive Methods for Motor Fault Diagnosis 4. Design and Development of a Noninvasive Condition Monitoring System 5. Faults Analysis and Evaluations via IPA and PVA Methods 6. Summary on Noninvasive Electrical Signature Analysis Methods: IPA and PVA

Condition Monitoring and Faults Diagnosis of

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Order before 4pm today for delivery by Sat 20 Dec 2025.

A Hardback by Nordin Saad, Muhammad Irfan, Rosdiazli Ibrahim

5 in stock


    View other formats and editions of Condition Monitoring and Faults Diagnosis of by Nordin Saad

    Publisher: Taylor & Francis Inc
    Publication Date: 31/07/2018
    ISBN13: 9780815389958, 978-0815389958
    ISBN10: 0815389957
    Also in:
    Electronics engineering Energy, power generation, distribution and storage

    Description

    Book Synopsis

    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.

      Table of Contents

      1. Introduction to Condition Monitoring of Electrical Machines 2. Background on Condition Monitoring Techniques 3. Noninvasive Methods for Motor Fault Diagnosis 4. Design and Development of a Noninvasive Condition Monitoring System 5. Faults Analysis and Evaluations via IPA and PVA Methods 6. Summary on Noninvasive Electrical Signature Analysis Methods: IPA and PVA

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