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Valery Dmitryevich Sharov - Probabilistic-Statistical Methods for Risk Assessment in Civil Aviation (Springer Aerospace Technology)

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Valery Dmitryevich Sharov Probabilistic-Statistical Methods for Risk Assessment in Civil Aviation (Springer Aerospace Technology)

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This book analyses the models for major risks related to flight safety in the aviation sector and presents risk estimation methods through examples of several known aviation enterprises. The book provides a comprehensive content for professionals engaged in the development of flight safety regulatory framework as well as in the design and operation of ground-based or on-board flight support radio electronic systems. The book is also useful for senior students and postgraduates in aviation specialties, especially those related to air traffic management.

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Book cover of Probabilistic-Statistical Methods for Risk Assessment in Civil - photo 1
Book cover of Probabilistic-Statistical Methods for Risk Assessment in Civil Aviation
Springer Aerospace Technology
Series Editors
Sergio De Rosa
DII, University of Naples Federico II, NAPOLI, Italy
Yao Zheng
School of Aeronautics and Astronautics, Zhejiang University, Hangzhou, Zhejiang, China
The series explores the technology and the science related to the aircraft and spacecraft including concept, design, assembly, control and maintenance. The topics cover aircraft, missiles, space vehicles, aircraft engines and propulsion units. The volumes of the series present the fundamentals, the applications and the advances in all the fields related to aerospace engineering, including:
  • structural analysis,

  • aerodynamics,

  • aeroelasticity,

  • aeroacoustics,

  • flight mechanics and dynamics

  • orbital maneuvers,

  • avionics,

  • systems design,

  • materials technology,

  • launch technology,

  • payload and satellite technology,

  • space industry, medicine and biology.

The series scope includes monographs, professional books, advanced textbooks, as well as selected contributions from specialized conferences and workshops.

The volumes of the series are single-blind peer-reviewed.

To submit a proposal or request further information, please contact: Mr. Pierpaolo Riva at pierpaolo.riva@springer.com (Europe and Americas) Mr. Mengchu Huang at mengchu.huang@springer.com (China)

The series is indexed in Scopus and Compendex

More information about this series at http://www.springer.com/series/8613

Valery Dmitryevich Sharov , Vadim Vadimovich Vorobyov and Dmitry Alexandrovich Zatuchny
Probabilistic-Statistical Methods for Risk Assessment in Civil Aviation
1st ed. 2021
Logo of the publisher Valery Dmitryevich Sharov Moscow Russia Vadim - photo 2
Logo of the publisher
Valery Dmitryevich Sharov
Moscow, Russia
Vadim Vadimovich Vorobyov
Moscow, Russia
Dmitry Alexandrovich Zatuchny
Moscow, Russia
Translated by Kudriashova Anna
ISSN 1869-1730 e-ISSN 1869-1749
Springer Aerospace Technology
ISBN 978-981-16-0091-3 e-ISBN 978-981-16-0092-0
https://doi.org/10.1007/978-981-16-0092-0
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.
The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd.

The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore

Preface

Despite a specific improvement in recent years, the state of Safety (S) in Civil Aviation (CA) of the Russian Federation remains unsatisfactory. If, during regular air transportation, the level of S in CA of the Russian Federation corresponds to the global average, then in general, for commercial CA, it is lower than the global average.

There is a significant lag behind the industry-leading countries. So, for the period 20072018, according to calculations based on the data of the Federal Aviation Administration of the Russian Federation and the National Transportation Safety Board (NTSB), USA, the average annual relative number of Accidents (ACCID) per 100 thousand flight hours was 0.538 in the commercial CA of the Russian Federation and 0.324 in the USA. The relative number of disasters in the Russian Federation is 0.259 and in the USA 0.099. The number of deaths per 1 million transported in the Russian Federation is 0.870 and in the USA 0.044.

A current approach to problem-solving of increasing S provides for the development of an Aviation Safety Management System (SMS) for each airline, and the basis of the SMS is the process of managing the risk of air safety.

There is no standard for SMS in the Russian Federation, and airlines develop SMS independently. Under these conditions, in the absence of a standard S risk management methodology and a lack of guidelines for the development and implementation of methods, there is a broad and subjective interpretation of several provisions of the ICAO Safety Management Manual (SMM) and the Russian Air Law. This leads to a conflict of priorities and misallocation of the resources of airlines and, ultimately, does not allow providing a satisfactory level of S in CA of the Russian Federation.

The approach to S management recommended by ICAO is not fundamentally new. It has long been used in the framework of solving the problem of ensuring S, which is the work of Barzilovich E. Y., Bachkalo B. I., Vorobyev V. V., Vorobyev V. G., Guzia A. G., Gipich G. N., Evdokimov V. G., Elisov L. N., Zubkov B. V., Kovalenko G. V., Kuklev E. A., Lebedev A. M., Makarov V. P., Matveev G. N., Livshits G. L., Lushkin A. M., Neymark M. I., Plotnikov N. I., Rukhlinsky V. M., Sakacha R. V., Stolyarov N. A., Shapkin V. S., and others.

It should be noted the development of the State flight safety center, the State research Institute of civil aviation, the Research institute of air navigation, the Moscow State technical university of civil aviation, the St. Petersburg State university of civil aviation and the Ulyanovsk Higher aviation school of civil aviation.

Foreign organizations include the National Aeronautics and Space Administration (NASA), the USA; the Commercial Aviation Safety Team (CAST), the USA; the Royal Netherlands Aerospace Centre (NLR), the Netherlands; and the Airline Risk Management System (ARMS) at EASA, S departments of Boeing and Airbus corporations.

On the other hand, there are serious theoretical studies and practical results on the assessment of technogenic risks in hazardous industries in the works of the Institute of Control Sciences Academician V.A Trapeznikov RAS, Mechanical Engineering Research Institute of the RAS, as well as those of authors such as Alexandrovsky L. N., Aronova I. Z., Brushlinsky N. N., Belova P. G., Viktorova V. S., Vishnyakov Y. D., Vladimirov V. A., Vorobiev Y. L., Kovalevich O. M., Kryukov S. P., Kulba V. V., Makhutov N. A., Malinetskiy G. E., Novikov D. A., Orlov A. I., Ryabinin I. A., Raikov A. N., Spesivtsev A. V., Shvyryaev Y. V., and other scientists.

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