£106.91

CRC Press Human-in-the-Loop: Probabilistic Modeling of an Aerospace Mission Outcome

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Description

Product Description Improvements in safety in the air and in space can be achieved through better ergonomics, better work environments, and other efforts of traditional avionic psychology that directly affect human behaviors and performance. Not limited to just the aerospace field, this book discusses adaptive probabilistic predictive modeling in human-in-the-loop situations and gets you familiar with a new, powerful, flexible, and effective approach to making outcomes from missions successful and safe. Covers the concepts, which are adaptable across other disciplines, and methodology for evaluating the likelihood of a successful outcome of an extraordinary situation Considers human performance and equipment/instrumentation reliability, as well as other possible sources of uncertainty Presents probabilistic assessment of an aerospace mission outcome Provides the most effective, physically meaningful, and cost-effective planning of an aerospace mission Offers how to organize and provide the most effective training of personnel Review "Reliability and safety have risen to the forefront of aerospace and avionic industry. Dr Suhir, a prolific author and a leading expert in probabilistic predictive modeling, has addressed the important aspects of the subject through adaptive probabilistic predictive modeling in human-in-the-loop situations approach. The book is a significant contribution to this field."―Jennie S. Hwang, Ph.D., D.Sc., CEO, H-Technologies Group, New York, USA "The author possesses extensive experience in probabilistic modeling of complex system. This book provides fundamental understanding and numerous real-life examples for human-system interactions in safety engineering for aerospace. This is one-of-a-kind book in this area, and gives readers an edge in human-in-the-loop probabilistic modeling of aerospace missions and extraordinary situations. In my judgement, application of methods and approaches suggested in this book will make a significant difference in the state-of-the-art in the field of aerospace ergonomics"―Xuejun Fan, Professor, Department of Mechanical Engineering, Lamar University, USA "This book comprises much more knowledge and experience than what could be expected purely from the title. It compiles the major outcomes of scientific work of the author throughout decades and is based on his publications in high-ranked technical journals. One the one hand, the book provides a thorough introduction into the fundamentals of statistics. On the other, the author projects his thoughts on real-life situations with clearly described roles and functions of human in distinct situations and demonstrates in an impressing and unique way how to put these functions (or malfunction) into numbers. Therefore, the value of this book is manifold.In addition, the style of the text and the accurate and complete explanation of the used notation allows to follow even demanding mathematical derivations and to rate this book as one that satisfies readers even with highest scientific expectations. In this way, this book can also be warmly recommended as lecture book for academic education."―Johann Nicolics, Institute of Sensor and Actuator Systems, ISAS, Austria "Increasing system complexity across all disciplines has resulted in a number of increasingly formidable challenges, especially in the areas of failure analyses, and particularly those of the Human-in-the-Loop type. Dr. Suhir's book is an important step in making such analyses practical and physically meaningful, and since, as the author has indicated, nobody and nothing is perfect, such analyses should be preferably done on the probabilistic basis. Probabilistic modeling is an important and a pioneering step in the direction of being able to manage the increasing phenomenological aspects of the human-machine/equipment interaction. Although Dr. Suhir's book is focused on the aerospace field, the content of the book can be easily extended

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
24 April 2018
Listed Since
09 November 2017

Barcode

No barcode data available

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