Editors: Dr. Seifedine Kadry
American University of the Middle East, Kuwait

Call for Chapters:
Proposals Submission Deadline: June 30, 2011

Introduction

Industrial Prognostics predict an industrial system’s lifespan. Prognostics use probability measurements as a way to quantify the chances that a machine operates without a fault, critical damage, defect or failure up over a period of time. In practice, the aim of prognostics is to predict and stop disabling or fatal failures before they happen. This failure sometime is catastrophic, e.g. airplane engine failure. The development of reliable prognostic processes for engineering systems increases system performance and availability, as well decreases the global cost of missions which could be hampered by costly mistakes. In the fields of systems prognostics, there exists a need for an edited collection of articles, case studies and applications in this area.

Objective of the Book

The main objective of this book is to discuss the methods and techniques of diagnosis and prognosis systems. It will provide comprehensive coverage of the state of the art in diagnosis and prognosis and include practical examples to demonstrate the method’s effectiveness in real-world applications. Written in a concise and accessible style, this book will introduce fundamental theory and practice for system diagnosis and prognosis as well as include the latests trend and research in this domain.

Target Audience

The target audience of this book will be composed of professionals and researchers working in the field of prognostic and health management science in various disciplines, e.g. Maintenance, system reliability, system diagnostic, system prognostic, fatigue, risk analysis…etc.

Recommended topics include, but are not limited to, the following:

Reliability and prognosticsv In-situ monitoring techniques
Making predictions
Prognostics for electronic products
Examples and case studies of prognostics and health management
Life Cycle Cost and Return on Investment for prognostics and health management
Physics of Failure based Prognostics
Sensors for Prognostics
Monitoring environmental and usage conditions
Empirical Methods for Process and Equipment Prognostics
Self Cognitive Capability for Anomaly Detection, Fault Analysis and Prognosis
Time Series Analysis
Risk and Uncertainty Analysis
Machine learning and Intelligent Systems
Needs and benefits of prognostics
Approaches for prognostics
Monitoring failure precursors
Prognostics Integrated Logistics
Structural Health Monitoring
Industrial Applications for prognostics and health management

Submission Procedure

Researchers and practitioners are invited to submit on or before June 30, 2011, a 2-3 page chapter proposal clearly explaining the mission and concerns of his or her proposed chapter. Authors of accepted proposals will be notified by July 30, 2011 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by October 15, 2011. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

Publisher

This book is scheduled to be published in 2012 by IGI Global (formerly Idea Group Inc.), publisher of the “Information Science Reference” (formerly Idea Group Reference), “Medical Information Science Reference,” “Business Science Reference,” and “Engineering Science Reference” imprints. For additional information regarding the publisher, please visit www.igi-global.com.

Important Dates

June 30, 2011: Proposal Submission Deadline
July 30, 2011: Notification of Acceptance
October 15, 2011: Full Chapter Submission
December 31, 2011: Review Results Returned
February 15, 2012: Final Chapter Submission
March 31, 2012: Final Deadline

Editorial Advisory Board

Prof. Michael Pecht, CALCE director, University of Maryland, USA
Prof. David He, University of Illinois at Chicago, USA
Prof. Hassan Noura, United Arab Emirates University, UAE
Prof. Noureddine ZERHOUNI, Ecole Nationale Supérieure de Mécaniques et des microtechniques, France
Prof. Khaled Smaili, Lebanese University, Lebanon
Dr. Byeng D. Youn, Seoul National University, Korea

Inquiries and submissions can be forwarded electronically (Word document):
Dr. Seifedine Kadry
American University of the Middle East
220 DASMAN, 15453 KUWAIT
Tel.: +965 666 10 985
E-mail: skadry@gmail.com, seifedine.kadry@aum.edu.kw