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Advanced condition monitoring and fa...

Irfan, Muhammad,

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Advanced condition monitoring and fault diagnosis of electric machines

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advanced condition monitoring and fault diagnosis of electric machines/ Muhammad Irfan, editor.
other author:	Irfan, Muhammad,
Published:	Hershey, Pennsylvania :IGI Global, : [2019],
Description:	1 online resource (xix, 307 p.)
[NT 15003449]:	Chapter 1. Fault diagnosis of induction motors using motor current signature analysis: a review -- Chapter 2. Fault detection and isolation in power systems using unknown input observer -- Chapter 3. Diagnosis of the broken rotor bars faults by root-MUSIC method -- Chapter 4. Advanced fault diagnosis monitoring scheme in asynchronous motor using soft computing method -- Chapter 5. A mobile augmented reality system for enhancing electrical machine supervision -- Chapter 6. Invasive methods to diagnose stator winding and bearing defects of an induction motors -- Chapter 7. Types of faults and condition monitoring methods of induction motors -- Chapter 8. Vibration monitoring of rotating electrical machines: vibration monitoring -- Chapter 9. A state of art critique review of role of optimization in NDTS for effective condition monitoring -- Chapter 10. Induction machine rotor and stator faults detection by applying the N-F network -- Chapter 11. A state-of-the-art critique review of the role of decision-making techniques in NDT for condition monitoring -- Chapter 12. Identifying parameters for nonlinear degradation-based prognostics: a case study with exponential degradation on induction motors -- Chapter 13. Sensor and its application.
Subject:	Electric machinery - Monitoring. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-6989-3
ISBN:	9781522569909 (e-book)

Advanced condition monitoring and fault diagnosis of electric machines
Advanced condition monitoring and fault diagnosis of electric machines[electronic resource] /Muhammad Irfan, editor. - Hershey, Pennsylvania :IGI Global,[2019] - 1 online resource (xix, 307 p.)

Includes bibliographical references and index.

Chapter 1. Fault diagnosis of induction motors using motor current signature analysis: a review -- Chapter 2. Fault detection and isolation in power systems using unknown input observer -- Chapter 3. Diagnosis of the broken rotor bars faults by root-MUSIC method -- Chapter 4. Advanced fault diagnosis monitoring scheme in asynchronous motor using soft computing method -- Chapter 5. A mobile augmented reality system for enhancing electrical machine supervision -- Chapter 6. Invasive methods to diagnose stator winding and bearing defects of an induction motors -- Chapter 7. Types of faults and condition monitoring methods of induction motors -- Chapter 8. Vibration monitoring of rotating electrical machines: vibration monitoring -- Chapter 9. A state of art critique review of role of optimization in NDTS for effective condition monitoring -- Chapter 10. Induction machine rotor and stator faults detection by applying the N-F network -- Chapter 11. A state-of-the-art critique review of the role of decision-making techniques in NDT for condition monitoring -- Chapter 12. Identifying parameters for nonlinear degradation-based prognostics: a case study with exponential degradation on induction motors -- Chapter 13. Sensor and its application.

Restricted to subscribers or individual electronic text purchasers.

"This book presents some of the advent developments in the condition monitoring and diagnostic approach of electric machines, gears, bearings, and pumps using invasive and non-invasive condition monitoring techniques. It covers issues related to machinery condition monitoring, signal processing and conditioning, instrumentation and measurements, new trends in condition monitoring and paying attention to the fault identification process"--Provided by publisher.

ISBN: 9781522569909 (e-book)Subjects--Topical Terms:

684523
Electric machinery
--Monitoring.

LC Class. No.: TK2313 / .A38 2019e

Dewey Class. No.: 621.31/042

Advanced condition monitoring and fault diagnosis of electric machines
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020 $a 9781522569909 (e-book)
020 $a 9781522569893 (hardback)
035 $a (OCoLC)1049574585
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040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
050 0 0 $a TK2313 $b .A38 2019e
082 0 0 $a 621.31/042 $2 23
245 0 0 $a Advanced condition monitoring and fault diagnosis of electric machines $h [electronic resource] / $c Muhammad Irfan, editor.
260 $a Hershey, Pennsylvania : $b IGI Global, $c [2019]
300 $a 1 online resource (xix, 307 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Fault diagnosis of induction motors using motor current signature analysis: a review -- Chapter 2. Fault detection and isolation in power systems using unknown input observer -- Chapter 3. Diagnosis of the broken rotor bars faults by root-MUSIC method -- Chapter 4. Advanced fault diagnosis monitoring scheme in asynchronous motor using soft computing method -- Chapter 5. A mobile augmented reality system for enhancing electrical machine supervision -- Chapter 6. Invasive methods to diagnose stator winding and bearing defects of an induction motors -- Chapter 7. Types of faults and condition monitoring methods of induction motors -- Chapter 8. Vibration monitoring of rotating electrical machines: vibration monitoring -- Chapter 9. A state of art critique review of role of optimization in NDTS for effective condition monitoring -- Chapter 10. Induction machine rotor and stator faults detection by applying the N-F network -- Chapter 11. A state-of-the-art critique review of the role of decision-making techniques in NDT for condition monitoring -- Chapter 12. Identifying parameters for nonlinear degradation-based prognostics: a case study with exponential degradation on induction motors -- Chapter 13. Sensor and its application.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "This book presents some of the advent developments in the condition monitoring and diagnostic approach of electric machines, gears, bearings, and pumps using invasive and non-invasive condition monitoring techniques. It covers issues related to machinery condition monitoring, signal processing and conditioning, instrumentation and measurements, new trends in condition monitoring and paying attention to the fault identification process"--Provided by publisher.
650 0 $a Electric machinery $x Monitoring. $3 684523
650 0 $a Fault location (Engineering) $3 649702
700 1 $a Irfan, Muhammad, $e editor. $3 3395813
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-6989-3