Open access peer-reviewed Edited Volume

Fault Diagnosis and Detection

Co-editor:

Mass production companies have become obliged to reduce their production costs and sell more products with lower profit margins in order to survive in competitive market conditions. The complexity and automation level of machinery are continuously growing. This development calls for some of the most critical issues that are reliability and dependability of automatic systems. In the future, machines will be monitored remotely, and computer-aided techniques will be employed to detect faults in the future, and also there will be unmanned factories where machines and systems communicate to each other, detect their own faults, and can remotely intercept their faults. The pioneer studies of such systems are fault diagnosis studies. Thus, we hope that this book will contribute to the literature in this regard.

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Fault Diagnosis and DetectionEdited by Mustafa Demetgul

Published: May 31st 2017

DOI: 10.5772/63169

ISBN: 978-953-51-3204-2

Print ISBN: 978-953-51-3203-5

Copyright year: 2017

Books open for chapter submissions

6175 Total Chapter Downloads

7 Crossref Citations

10 Dimensions Citations

chaptersDownloads

Open access peer-reviewed

1. Fault Detection and Isolation

By Rajamani Doraiswami and Lahouari Cheded

542

Open access peer-reviewed

2. Adaptive Signal Decomposition Methods for Vibration Signals of Rotating Machinery

By Wei Guo and Ming J. Zuo

586

Open access peer-reviewed

3. Enhanced Principles in Design of Adaptive Fault Observers

By Dušan Krokavec, Anna Filasová and Pavol Liščinský

390

Open access peer-reviewed

4. An Assessment on the Non-Invasive Methods for Condition Monitoring of Induction Motors

By Muhammad Irfan, Nordin Saad, Rosdiazli Ibrahim, Vijanth S. Asirvadam, Abdullah S. Alwadie and Muhammad Aman Sheikh

548

Open access peer-reviewed

5. Evaluation of Novelty Detection Methods for Condition Monitoring applied to an Electromechanical System

By Miguel Delgado Prieto, Jesús A. Cariño Corrales, Daniel Zurita Millán, Marta Millán Gonzalvez, Juan A. Ortega Redondo and René de J. Romero Troncoso

436

Open access peer-reviewed

6. Fault Diagnosis and Health Assessment for Rotating Machinery Based on Kernel Density Estimation and Kullback-Leibler Divergence

By Yu Liu, Chen-Yao Yan and Fan Zhang

400

Open access peer-reviewed

7. Dynamics-Based Vibration Signal Modeling for Tooth Fault Diagnosis of Planetary Gearboxes

By Xihui Liang, Ming J. Zuo and Wenhua Chen

633

Open access peer-reviewed

8. Fault-Tolerant Electrical Machines and Drives

By Mircea Ruba

432

Open access peer-reviewed

9. Fault Detection and Isolation of Nonlinear Systems with Generalized Hamiltonian Representation

By Luis Humberto Rodriguez-Alfaro, Efrain Alcorta-Garcia, Cornelio Posadas-Castillo and David Alejandro Diaz-Romero

417

Open access peer-reviewed

10. Process Monitoring Using Data-Based Fault Detection Techniques: Comparative Studies

By Mohammed Ziyan Sheriff, Chiranjivi Botre, Majdi Mansouri, Hazem Nounou, Mohamed Nounou and Mohammad Nazmul Karim

553

Open access peer-reviewed

11. Noninvasive Methods for Condition Monitoring and Electrical Fault Diagnosis of Induction Motors

By Muhammad Aman Sheikh, Nursyarizal Mohd Nor, Taib Ibrahim, Sheikh Tahir Bakhsh, Muhammad Irfan and Hanita Binti Daud

420

Open access peer-reviewed

12. Detection and Analysis of Petroleum Equipment Faults

By Mihail Minescu and Ion Pana

398

Open access peer-reviewed

13. Automated Fault Detection System for Wind Farms

By Deepshikha Agarwal

420

Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI
  • IET Inspec

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