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Aviation System Risks and Safety, 1st ed. 2019 Springer Aerospace Technology Series

Langue : Anglais

Auteurs :

Couverture de l’ouvrage Aviation System Risks and Safety

This book provides a solution to ?rare event? problems without using the classical theory of reliability and theory of probability. This solution is based on the methodology of risk assessment as ?measure of danger? (in keeping with the ICS RAS) and an expert approach to determining systems? safety indications using Fuzzy Sets methods. Further, the book puts forward a new concept: ?Reliability, Risks, and Safety? (RRS). 

The book?s main goal is to generalize present results and underscore the need to develop an alternative approach to safety level assessment and risk management for technical (aviation) systems in terms of Fuzzy Sets objects, in addition to traditional probabilistic safety analysis (PSA). The concept it proposes incorporates ICAO recommendations regarding proactive system control and the system?s responses to various internal and external disturbances. 




1.1. Formation of the methods that provide technical safety and reliability as quality characteristics

1.2. Object’s main states in reliability and safety analysis

1.3. Interconnection between categories of reliability, efficiency, and safety in complex technical systems according to classical theory of reliability

1. 4. Structurally complicated diagrams of technical systems and failure throats

1.4.1. Systems’ reliability rate estimation methods

1.4.2. Developing a "tree of failures"

1.5. Main principles of technical systems’ safety assurance according to methods of classical theory of reliability

1.5.1. Appliance of security barriers for safety oversight at potentially dangerous objects 1.5.2. Place and role of probabilistic safety analysis (PSA) in the theory of reliability

1.5.3. Definition of risk factors

1.5.4. International standards for safety analysis and assessment (PSA) and remarks on statement discrepancies

1.5.5. Primal problems statement in probabilistic safety analysis 

1.6. Analysis of emergency sequences during estimation of system safety level according to PSA method in the theory of reliability

1.6.1. Design of "event trees" in the theory of reliability

1.6.2. Risk estimation in the theory of reliability as a probability of negative event

1.6.3. Risk computation results analysis in PSA methods

1.7. Analysis for different types of failures, their consequences and criticality based on methods of failure mode effects and criticality analysis

1.7.1. General provisions for systems’ failure mode effects and criticality analysis

1.7.2. Impact of failure criticality on the system’s operation processes safety situation

1.7.3. Examples of reported fatal crashes



2.1. New doctrine for aviation structural-complicated engineering systems safety assessment using fuzzy sets

2.1.1. Fundamental general provisions of “Reliability, Risk, Safety” (RRS) doctrine 2.1.2. General RRS guidelines on tools development for assessment of systemic risk as a “measure of danger”

2.1.3. Possible directions for development of system safety assessment indicators based on risk methodology

2.1.4. Three fundamental postulates of theory of systemic safety (TSS) that supplement the classical theory of reliability (TR)

2.2.2. Some examples of risk levels relevancy estimation by danger factors in highly reliable systems

2.3. The generalized provisions of TR and TSS in RRS

2.3.1. Interpretation of the initial conception of risk in terms of game theory (difference between conceptions in TR and TSS)

2.3.2. Mathematical foundation of models for risk as a  “measure of danger” according to RAS

2.4. Mathematical foundation for definition of risk event and integral measure of risk in probabilistic space

2.5. Models for safety ("danger") and "risks"  in  PSA and TSS

2.6. Comparison of quality indicators and safety in TR and TSS

2.6.1. Estimation for experimental probability valuation errors

2.6.2. 2-D estimation of risk relevancy as “quantity of danger” 

2.7. Decision-making circuit with due consideration of risks and chance during monitoring and flight safety oversight in civil aviation

2.8. Foundations of transition from TR to TSS and “fuzzy sets” of TR events like functional failures

2.9.  Appropriate safety indicators observation framework in terms of ICAO risk calculation methodology (Annex-19)

2.9.1. Area of implementation and standardization of TSS and RRS provisions

2.9.2. Guidelines on applicability of RRS in safety management systems (SMS)



3.1. Risk models’ axiomatics

3.1.1. Principle of fuzzy implication in fuzzy statements analysis

3.1.2. Formula and definition of risk relevancy

3.2. Application of probabilistic spaces conception in fuzzy risk models of TSS

3.3. Algorithm of risk relevancy estimation in probabilistic space

3.4. Interpretations of factors subsets fuzziness in the procedures of risk analysis according to ICAO recommendations (Doc 9859)

3.4.1. Impact of probability density function blurring on risk indicators

3.4.2. Processes with probability density function of 1-st type ("Thick tails")

3.4.3. Processes with probability density function of 2-nd type – blurred function

3.4.4. Uncertainty of probability density function and probability distribution function according to NASA experimental results

3.5. Transition from Boolean grid in TR to Fuzzy Sets

3.5.1. Basic premise

3.5.2. Solution diagram (for transition from Boolean grid to Fuzzy Sets)

3.6. Overview diagram for composition of fuzzy risk models in aviation technical systems

3.7. Analysis of TR basic provisions defined by hypothesis on existence of “hypercube” of crisp sets objects validity

3.8. Basic provisions for system modeling in Fuzzy Sets

3.9. Events Boolean algebra in catastrophe scenarios

3.9.1. General provisions that define the origin of catastrophes

3.9.2. Application of Boolean algebra functions (BAF) for system performance capabilities in TR and in TSS for J.Reason’s chains construction

3.10. Classical TR view in terms of validity hypercube

3.10.1. Universal method for  classical TR foundations presentment in terms of Fuzzy Sets

3.10.2. Initial hypotheses of classical TR defined on validity hypercube (on Boolean grid)

3.11. Definition of catastrophe path in terms of validity hypercube model for system physical components’ status values from universal Set

3.11.1. The origin of TR postulates on independent changes of system physical components’ status values

3.11.2. Logic equation of a “catastrophe” (according to I.A. Ryabynin)  for the events from crisp or fuzzy subsets

3.11.3. TSS concept of J.Reason’s chains construction in fuzzy status sets using FMEA and CATS approaches

3.11.4. CATS concept (ICAO – "Netherlands")

3.12. Formalized models for safety and reliability estimation for the systems with discrete status values 

3.12.1. Initial definition of system S

3.12.2. Functional worthiness and accident risks in АТС

3.12.3. Classification of risk events in the space



4.1. Typical international requirements in SMS structure

4.1.1. Key definitions and purpose of SMS

4.1.2. Integrated modules "SMS – QMS" ("Blue Folder")

4.1.3. Main SMS functions recommended in the Annex-19

4.2. SMS prognosticating of safety level in complex aviation systems based on the critical functional failure appraisal risk models

4.2.1. Ternary of control actions in SMS

4.2.2. Diagram for risks and threats signification in SMS

4.2.3. Application of risk analysis matrixes in threat analysis

4.2.4. Algorithm of NASA scenario for the ternary proactive and predictive (prognosticating) air traffic safety control by SMS

4.2.5. ICAO and ISO views on danger models architecture in SMS

4.3. Design of generalized safety management system (SMS)

4.3.1. SMS functions according to the NASA ideology (for ICAO)

4.3.2. Design principles and SMS core composition analysis (Type 2)

4.3.3. SМS subsystems and modules

4.3.4. SMS functional structure and computing support for procedures of undesired events appraisal risk estimation according to ICAO methods (SMS manual)

4.4. Methodological foundation for solution to the residual risk estimation problem with consideration of integrated logistic support chains

4.4.1. State safety regulations in civil aviation of Russian Federation

4.4.2. Recognition of acceptable risk levels



5.1. Methodological provisions for solution to the problem of aircraft exploitation safety estimation

5.1.1. Definitions of risk varieties

5.1.2. Performance indicators for system’s dangerous states

5.1.3. Methodological provisions on “preventive” (proactive) danger prognosticating in order to provide flight safety enhancement based on risk management through aviation technical system’s parameters with consideration of risk factors

5.1.4. Methodological provisions on interconnection between characteristics of proactive and active methods for risks and threats relevancy estimation regarding to risk factors’ base and list of threats for an air line company given

5.2. Risk identification and assessment instruments for solution to “rear events” problem in terms of new doctrine “Reliability, risks, safety

5.2.1. TSS instruments

5.2.1. Basic principles of flight safety management

5.2.2. Conception of J.Reason’s chains construction in fuzzy subsets of aviation technical system’s states

5.3. Definition and assessment of risk relevancy for the events from binary outcomes space by the matrixes of risk analysis

5.3.1. Risk matrixes variety according to ICAO

5.3.2. Outcomes space binary partition in the matrix of risk analysis

5.4. Method for estimation of risk degree in comparison with the level of acceptable risk

5.4.1. General provisions of methodological approach used

5.4.2. Category gradation of fuzzy risk boundaries ("granules")

5.5. TSS application for risk level assessment in aviation technical systems of “rare event” category using methods of classical TR and PSA

5.6. Stages of safety level oversight for aviation technical systems and dual-purpose products by risk indicators during product’s life cycle

5.6.1. Stage 1. Creation of highly-reliable technical system

5.6.2. Stage 2. Revealing the catastrophe paths based on adopted structural diagram of reliability elements connection

5.6.3. Formalized models for systems’ structures, with consideration of possible failures, based on “validity hypercube” models

5.7. Model for counterfeited items impact on the aviation technical system safety in terms of fuzzy sets

5.8. Combinatorial analysis of human factor features using SHELL interface

5.8.1. Problem statement and solution scheme

5.8.2. States coding in SHELL

5.8.3. Risk estimation based on TSS (RRS) algorithms

5.9. Layers of J.Reason’s chains for proactive revealing of impending aviation accidents



6.1. Amendment №101 recommendations from ICAO to the requirements for development FO SMS of industrial production

6.2. Classifier of industrial safety variety in TSS

6.3. Methodological foundations for implementation of amendment №101 recommendations based on the principles of Integrated Logistic Support

6.3.1. Industrial safety monitoring subsystems

6.3.2. Functions of Integrated Logistic Support system for the aircraft of Airbus-type

6.4. Assessment of perspectives for Russian Civil aviation transition to the new standards for industrial safety and assurance of post-sales support for industrial production (factor F1) and technical operation (factor F2)

6.4.1. Current status of developments

6.4.2.  Structure for set of standards

6.5. MSG strategy in developing MRO (reliability) programme for aircrafts in western countries

6.5.1. Technical maintenance program structure

6.5.2.  MRO and aircraft reliability oversight programs in MSG-1, MSG-3

6.6. Design requirements for helicopters with external load sling system regarding to flight safety oversight

6.6.1. Methodological approach to forming the Logistic Support system for Ka-32 helicopter post-sales maintenance

6.6.2. Recommendations on helicopters’ SMS

6.7. Significance of the new RRS ideology (adopted in TSS for industrial safety estimation) in comparison between Russian and foreign approaches to SMS based on risk calculation

6.7.1. Estimation of relevancy of RRS methods for safety estimations in aircraft operations

6.7.2. List of development projects on implementation of RRS theory provisions into industrial safety management systems



Kuklev E.A., Professor, Doctor of Technical Sciences, was born in 1934; and graduated from the Kazan Aviation Institute (majoring in “aircraft construction”). He is an Honored Worker of the Higher School of Russia, Laureate of the commemorative medal of the Vietnamese People’s Republic (2018) for his services in the preparation of scientific aviation personnel (candidates of Technical Sciences) and for the implementation of scientific and technical projects for civil aviation in Vietnam, Head of the Mechanics department of St. Petersburg State University, and Director of the Center for Expertise and Scientific Support of Projects in St. Petersburg State University. Earlier, he was the vice-rector for research in St. Petersburg State University of Civil Aviation. He is the author of more than 300 scientific papers and inventions in the aviation field, including those for development of air transport standards, with activity management standards for transportation of goods on the external load suspension of helicopters in the interaction of helicopter groups based on ICAO requirements. 

Shapkin V.S., Professor, Doctor of Technical Sciences, graduated from Moscow Institute of Civil Aviation Engineers (1984). He is a Laureate of the Russian Federation Government Prize in Science and Technology, an Honored Transport Worker of the Russian Federation, and Director General of FSUE State Research Institute of Civil Aviation (FSUE GosNII GA). He is also an Expert of the Federal Air Transport Agency, Federal Service on supervision in the sphere of transport of the Russian Ministry of Transport, and the Interstate Aviation Committee. His area of specialisation includes air transport and aircraft strength. He is also the author of more than 200 scientific works. 

Filippov V.L., Acting General Director of FSUE State Research Institute of Civil Aviation, Actual State Councillor of Russian Federation, graduated from Syzran Air Force Aviation School, Gagari

Describes the application of a risk-oriented approach using Fuzzy Sets methods 

Puts forward principles of decision-making under conditions of uncertainty, especially concerning rare events 

Presents cognitive technologies that reduce the probability of emergency situations 

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