عنوان

Condition monitoring and faults diagnosis of induction motors :

(Number (ISBN

1351172549

(Number (ISBN

1351172557

(Number (ISBN

9781351172547

(Number (ISBN

9781351172554

Erroneous ISBN

0815389957

Erroneous ISBN

9780815389958

Erroneous ISBN

9781351172561

Title Proper

Condition monitoring and faults diagnosis of induction motors :

General Material Designation

[Book]

Other Title Information

electrical signature analysis /

First Statement of Responsibility

Nordin Saad, Muhammad Irfan, and Rosdiazli Ibrahim.

Place of Publication, Distribution, etc.

Boca Raton, FL :

Name of Publisher, Distributor, etc.

CRC Press/Taylor & Francis Group,

Date of Publication, Distribution, etc.

2018.

Specific Material Designation and Extent of Item

1 online resource.

Text of Note

"A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T & F Informa plc."

Text of Note

Includes bibliographical references and index.

Text of Note

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.

0

Text of Note

The purpose of this book is to explore developments in the condition monitoring and diagnostic approach of induction motors using electrical signature analysis of motor currents. It 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 pays special attention to the fault identification process using motor currents electrical signature analysis. The book presents 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. An adaptive threshold has been designed to deal with signal noise ambiguities for decision-making on the existence of small fault signatures. The performance of the developed system has been analyzed theoretically and experimentally under various loading conditions of the motor

Source for Acquisition/Subscription Address

Ingram Content Group

Stock Number

9781351172547

Title

Condition monitoring and faults diagnosis of induction motors.

International Standard Book Number

9780815389958

Electric motors, Induction-- Testing.

Electric motors, Induction-- Testing.

TECHNOLOGY & ENGINEERING / Mechanical

TEC-- 009070

TJF

Number

Edition

Class number

Book number

Saad, Nordin

Ibrahim, Rosdiazli

Irfan, Muhammad

Date of Transaction

20200822134953.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y