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Image of - Fault Detection Classification | Techniques and Role in Industrial Systems | Hardcover
Fault Detection Classification | Techniques and Role in Industrial Systems | Hardcover

Fault Detection Classification | Techniques and Role in Industrial Systems | Hardcover

by Marquez

This book synthesises the principles of fault detection with a focus on interfaces between the main disciplines of methods/technologies and industrial systems. It is complementary to other sub-disciplines such as maintenance, engineering, safety, risk analysis, etc. This book is intended for engineers, economists, technical consultants, researchers, etc. who are involved in the advancement of fault detection, and for those who incorporate fault detection in their work. The authors of this volume describe their pioneering work in the area and provide material from case studies that successfully applied the fault detection discipline in real life cases. Some topics discussed include condition monitoring of wind turbines; induction motor fault detection based on vibration analysis and support vector machines; failure detection and accommodation approaches for the airspeed sensor on a small UAV; and model-based fault diagnosis for industrial mobile robots.

Highlights

  • binding-icon

    9781628089998

    ISBN:

  • binding-icon

    Marquez

    Author:

  • binding-icon

    219

    Pages:

  • binding-icon

    656 gm

    Weight:

  • langauage-icon

    English

    Language:

  • date-icon

    2013

    Year:

  • edition-icon

    UK Edition

    Edition:

  • binding-icon

    Hardcover

    Binding:

10272

12840

This book synthesises the principles of fault detection with a focus on interfaces between the main disciplines of methods/technologies and industrial systems. It is complementary to other sub-disciplines such as maintenance, engineering, safety, risk analysis, etc. This book is intended for engineers, economists, technical consultants, researchers, etc. who are involved in the advancement of fault detection, and for those who incorporate fault detection in their work. The authors of this volume describe their pioneering work in the area and provide material from case studies that successfully applied the fault detection discipline in real life cases. Some topics discussed include condition monitoring of wind turbines; induction motor fault detection based on vibration analysis and support vector machines; failure detection and accommodation approaches for the airspeed sensor on a small UAV; and model-based fault diagnosis for industrial mobile robots.

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