scholarly journals Влияние человеческого фактора при создании авиационных двигателей

2021 ◽  
pp. 5-10
Author(s):  
Виктория Викторовна Кокотина ◽  
Лариса Анатольевна Лесная ◽  
Виталий Григорьевич Харченко
Keyword(s):  
Human Error ◽  
Human Performance ◽  
Human Factor ◽  
Causative Factor ◽  
Civil Aviation ◽  
Modern World ◽  
Destructive Testing ◽  
Effective Prevention ◽  
A Chain

Ensuring the safety of the civil aviation system is the main goal of the International Civil Aviation Organization (ICAO) activities and the "human factor" was define as a priority in the field of flight safety. Given the variety of factors potentially affecting human performance, it is not surprising, that human error has been recognized as a major causative factor in virtually all air crashes and accidents since the inception of aviation. The reliability and safety of flights are influenced by: the quality of preparation of aviation equipment for flight, the quality of manufacture, assembly, acceptance, and pre-flight tests, the quality of design of aircraft and engines. The quality of workmanship is confirmed by the execution of control at each stage of manufacture. In any activity, the "human factor" is manifested by mistakes, oversights, and omissions, or miscalculations that a person makes when doing his job under certain conditions. The theory of the occurrence and prevention of errors associated with human physiology and the environment were described by H. Heinrich's "domino theory". Human errors form sequences in which the first error causes a chain of subsequent ones, keeping one of the dominoes standing behind each other, it is possible to prevent the consequences of an accident in the form of material damage or an accident. Human physiological features such as vision can be one of the dominoes and lead to erroneous actions. In the modern world, non-destructive testing methods are relevant and the role of a defectoscopistꞌs in determining the nature of a defect is quite large. Regular monitoring of vision (prophylactic examination) allows you to identify potential vision problems with a specialist, which can lead to erroneous actions. Human factors research is fundamental to understanding the context in which normal, healthy, skilled, well-equipped and reasonably motivated personnel make mistakes, some of which are fatal and, if the causes of human error are correctly understood, it will be possible to develop more effective prevention strategies errors, their control, and safe elimination.

HUMAN FACTOR ANALYSIS OF CONTAINER VESSEL’S GROUNDING ACCIDENTS

2021 ◽  
Vol 159 (A1) ◽  
Author(s):  
U Yildirim ◽  
O Ugurlu ◽  
E Basar ◽  
E Yuksekyildiz
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Human Error ◽  
Human Performance ◽  
Human Factor ◽  
Study Data ◽  
Team Management ◽  
Contribution Rate ◽  
Physical Problems ◽  
Mental Problems

Investigation on maritime accidents is a very important tool in identifying human factor-related problems. This study examines the causes of accidents, in particular the reasons for the grounding of container ships. These are analysed and evaluation according to the contribution rate using the Monte Carlo simulation. The OpenFTA program is used to run the simulation. The study data are obtained from 46 accident reports from 1993 to 2011. The data were prepared by the International Maritime Organization (IMO) Global Integrated Shipping Information System (GISIS). The GISIS is one of the organizations that investigate reported accidents in an international framework and in national shipping companies. The Monte Carlo simulation determined a total of 23.96% human error mental problems, 26.04% physical problems, 38.58% voyage management errors, and 11.42% team management error causes. Consequently, 50% of the human error is attributable to human performance disorders, while 50% team failure has been found.

CIVIL AVIATION ACCIDENTS AND INCIDENTS CLASSIFIED ACCORDING TO GROUPS OF AVIATION SPECIALISTS

Aviation ◽  
2013 ◽  
Vol 17 (2) ◽  
pp. 76-79 ◽  
Author(s):  
Peter Trifonov-Bogdanov ◽  
Leonid Vinogradov ◽  
Vladimir Shestakov
Keyword(s):  
Human Error ◽  
Human Factor ◽  
Negative Influence ◽  
Civil Aviation ◽  
Flight Safety ◽  
Complex Action ◽  
Primary Parameter ◽  
Aviation Accidents ◽  
Operational Process ◽  
Operational Activities

During an operational process, activity is implemented through an ordered sequence of certain actions united by a common motive. Actions can be simple or complex. Simple actions cannot be split into elements having independent objectives. Complex actions can be presented in the form of a set of simple actions. If the logical organisation of this set is open, a complex action can be described as an algorithm consisting of simple actions. That means various kinds of operational activities develop from the same simple and typical actions, but in various sequences. Therefore, human error is always generated by a more elementary error of action. Thus, errors of action are the primary parameter that is universal for any kind of activity of an aviation specialist and can serve as a measure for estimating the negative influence of the human factor (HF) on flight safety. Aviation personnel are various groups of experts having various specialisations and working in various areas of civil aviation. It is obvious that their influence on conditions is also unequal and is defined by their degree of interaction with the performance of flights. In this article, the results of an analysis of air incidents will be presented.

Based on Human Behavior Process of Human Error Defensive Management Research for NPP

2017 ◽  
Author(s):  
Shen Yang ◽  
Geng Bo ◽  
Li Dan
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Control Chart ◽  
Human Behavior ◽  
Nuclear Power ◽  
Human Error ◽  
Human Performance ◽  
Human Factor ◽  
Error Management ◽  
Root Cause

According to the research of nuclear power plant human error management, it is found that the traditional human error management are mainly based on the result of human behavior, the event as the point cut of management, there are some drawbacks. In this paper, based on the concept of the human performance management, establish the defensive human error management model, the innovation point is human behavior as the point cut, to reduce the human errors and accomplish a nip in the bud. Based on the model, on the one hand, combined with observation and coach card, to strengthen the human behavior standards expected while acquiring structured behavior data from the nuclear power plant production process; on the other hand, combined with root cause analysis method, obtained structured behavior data from the human factor event, thus forming a human behavior database that show the human performance state picture. According to the data of human behavior, by taking quantitative trending analysis method, the P control chart of observation item and the C control chart of human factor event is set up by Shewhart control chart, to achieve real-time monitoring of the process and result of behavior. At the same time, development Key Performance Indicators timely detection of the worsening trend of human behavior and organizational management. For the human behavior deviation and management issues, carry out the root cause analysis, to take appropriate corrective action or management improvement measures, so as to realize the defense of human error, reduce human factor event probability and improve the performance level of nuclear power plant.

scholarly journals Maintenance and reliability of aircraft technology

2021 ◽  
Author(s):  
Dušan Rýzek ◽  
◽  
Martin Bugaj
Keyword(s):  
Human Error ◽  
Human Factor ◽  
Slovak Republic ◽  
Point Of View ◽  
Civil Aviation ◽  
Aircraft Maintenance ◽  
Commercial Aircraft ◽  
Commercial Aviation ◽  
The Individual ◽  
Laws And Regulations

The paper deals with the maintenance and influencing the human factor in aircraft maintenance. The work is divided into three basic parts. In the first part of the paper, the aim was to describe the maintenance from a historical point of view, to describe the individual stages of maintenance and to summarize how to maintain the years of development. We also have specified individual types of maintenance, maintenance intervals. The most extensive part in the theory are the laws and regulations that must comply with when performing maintenance in the Slovak Republic. This part is indeed included, but we consider it important to mention it in the work. The second part of the paper is the analysis of accidents of commercial aircraft in commercial aviation for the last 3 years. The analysis contains 43 accidents, from which we came to a conclusion. In the first part of the analysis, we selected those accidents that occurred due to maintenance, and then from these accidents, we further determined which accidents occurred due to human error in maintenance. The aim was to determine whether the number of accidents in commercial aviation in civil aviation due to maintenance should increase or decrease, and subsequently, whether the number of accidents in terms of human factor inmaintenance would increase or decrease. The last part so the conclusion is of course focused on the evaluation of the results of the analytical part and the declaration of whether we managed to meet the goal of the paper.

Human Factor Analysis of Container Vessel's Grounding Accidents

2017 ◽  
Vol Vol 159 (A1) ◽  
Author(s):  
U Yildirim ◽  
O Ugurlu ◽  
E Basar ◽  
E Yuksekyildiz
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Human Error ◽  
Human Performance ◽  
Human Factor ◽  
Study Data ◽  
Team Management ◽  
Contribution Rate ◽  
Physical Problems ◽  
Mental Problems

Investigation on maritime accidents is a very important tool in identifying human factor-related problems. This study examines the causes of accidents, in particular the reasons for the grounding of container ships. These are analysed and evaluation according to the contribution rate using the Monte Carlo simulation. The OpenFTA program is used to run the simulation. The study data are obtained from 46 accident reports from 1993 to 2011. The data were prepared by the International Maritime Organization (IMO) Global Integrated Shipping Information System (GISIS). The GISIS is one of the organizations that investigate reported accidents in an international framework and in national shipping companies. The Monte Carlo simulation determined a total of 23.96% human error mental problems, 26.04% physical problems, 38.58% voyage management errors, and 11.42% team management error causes. Consequently, 50% of the human error is attributable to human performance disorders, while 50% team failure has been found.

Evaluation of human factor engineering influence in nuclear safety using probabilistic safety assessment techniques

Kerntechnik ◽  
2021 ◽  
Vol 86 (6) ◽  
pp. 470-477
Author(s):  
M. Farcasiu ◽  
C. Constantinescu
Keyword(s):  
Reliability Analysis ◽  
Error Rate ◽  
Error Detection ◽  
Human Error ◽  
Human Performance ◽  
Human Factor ◽  
Human Reliability ◽  
Human Reliability Analysis ◽  
Human Factor Engineering ◽  
Rate Prediction

Abstract This paper provides the empirical basis to support predictions of the Human Factor Engineering (HFE) influences in Human Reliability Analysis (HRA). A few methods were analyzed to identify HFE concepts in approaches of Performance Shaping Factors (PSFs): Technique for Human Error Rate Prediction (THERP), Human Cognitive Reliability (HCR) and Cognitive Reliability and Error Analysis Method (CREAM), Success Likelihood Index Method (SLIM) Plant Analysis Risk – Human Reliability Analysis (SPAR-H), A Technique for Human Error Rate Prediction (ATHEANA) and Man-Machine-Organization System Analysis (MMOSA). Also, in order to identify other necessary PSFs in HFE, an additional investigation process of human performance (HPIP) in event occurrences was used. Thus, the human error probability could be reduced and its evaluating can give out the information for error detection and recovery. The HFE analysis model developed using BHEP values (maximum and pessimistic) is based on the simplifying assumption that all specific circumstances of HFE characteristics are equal in importance and have the same value of influence on human performance. This model is incorporated into the PSA through the HRA methodology. Finally, a clarification of the relationships between task analysis and the HFE is performed, ie between potential human errors and design requirements.

scholarly journals Safer Systems: People Training or System Tuning?

2021 ◽  
Vol 11 (3) ◽  
pp. 990-998
Author(s):  
Erik Hollnagel
Keyword(s):  
Human Error ◽  
Human Performance ◽  
Human Factor ◽  
Effective Means ◽  
Safety Training ◽  
Technical System ◽  
Industrial Safety ◽  
System Component ◽  
Training Design ◽  
Specific Component

Safety is usually seen as a problem when it is absent rather than when it is present, where accidents, incidents, and the like represent a lack of safety rather than the presence of safety. To explain this lack of safety, one or more causes must be found. In the management of industrial safety, the human factor has traditionally been seen as a weak element; human error is often offered as the first, and sometimes the only cause of lack of safety and human factors have since the early days offered three principal solutions, namely training, design, and automation. Of these, training has considerable face value as an effective means to improve human performance. The drawback of safety training, however, is that it focuses on a single system component, the human, instead of on the system as a whole. Safety training further takes for granted that humans are a liability and focuses on overcoming the weakness of this specific component through simplistic models of what determines human performance. But humans may also be seen as an asset which changes the focus to strengthening how a complex socio-technical system functions. A socio-technical system comprises multiple functions that must be finely tuned in order to ensure expected and acceptable performance. Since systems cannot be made safer without developing effective ways of managing the conditions in which people work, system tuning offers an alternative solution to an old problem.

scholarly journals Research on Human-Error Factors of Civil Aircraft Pilots Based On Grey Relational Analysis

2018 ◽  
Vol 151 ◽  
pp. 05005 ◽  
Author(s):  
Yundong Guo ◽  
Youchao Sun ◽  
Si Chen
Keyword(s):  
Grey Relational Analysis ◽  
Human Error ◽  
Human Factor ◽  
Civil Aviation ◽  
Aviation Accidents ◽  
Factors Affecting ◽  
Relational Analysis ◽  
Civil Aircraft ◽  
Grey Relational ◽  
Aircraft Pilots

In consideration of the situation that civil aviation accidents involve many human-error factors and show the features of typical grey systems, an index system of civil aviation accident human-error factors is built using human factor analysis and classification system model. With the data of accidents happened worldwide between 2008 and 2011, the correlation between human-error factors can be analyzed quantitatively using the method of grey relational analysis. Research results show that the order of main factors affecting pilot human-error factors is preconditions for unsafe acts, unsafe supervision, organization and unsafe acts. The factor related most closely with second-level indexes and pilot human-error factors is the physical/mental limitations of pilots, followed by supervisory violations. The relevancy between the first-level indexes and the corresponding second-level indexes and the relevancy between second-level indexes can also be analyzed quantitatively.

Human Factor Risk Assessment During Emergency Condition in Harsh Environment

2013 ◽  
Author(s):  
Mashrura Musharraf ◽  
Faisal Khan ◽  
Brian Veitch ◽  
Scott MacKinnon ◽  
Syed Imtiaz
Keyword(s):  
Risk Assessment ◽  
Human Factors ◽  
Human Error ◽  
Human Performance ◽  
Human Factor ◽  
Expert Judgment ◽  
Harsh Environment ◽  
Unrealistic Assumption ◽  
Error Probabilities ◽  
Human Error Probability

This paper presents a quantitative approach to human factors risk analysis during emergency conditions on an offshore petroleum facility located in a harsh environment. Due to the lack of human factors data for emergency conditions, most of the available human factors risk assessment methodologies are based on expert judgment techniques. Expert judgment is a valuable technique, however, it suffers from vagueness, subjectivity and incompleteness due to a lack of supporting empirical evidence. These weaknesses are often not accounted for in conventional human factors risk assessment. The available approaches also suffer from the unrealistic assumption of independence of the human performance shaping (HPS) factors and actions. The focus of this paper is to address the issue of handling uncertainty associated with expert judgments and to account for the dependency among the HPS factors and actions. These outcomes are achieved by integrating Bayesian Networks with Fuzzy and Evidence theories to estimate human error probabilities during different phases of an emergency. To test the applicability of the approach, results are compared with an analytical approach. The study demonstrates that the proposed approach is effective in assessing human error probability, which in turn improves reliability and auditability of human factors risk assessment.

Assessment of Human Factor Performance Using Bayesian Inference and Inherent Safety

2013 ◽  
Vol 845 ◽  
pp. 658-662
Author(s):  
Nor Diana A. Wahab ◽  
Risza Rusli ◽  
Azmi Mohd Shariff ◽  
Azizul Buang ◽  
N. A. Wahab
Keyword(s):  
Bayesian Inference ◽  
Human Factors ◽  
Failure Probability ◽  
Human Error ◽  
Human Performance ◽  
Human Factor ◽  
Preventive Measure ◽  
Inherent Safety ◽  
Predictive Tool ◽  
Ability To Act

Simply attributing incidents to human error is not adequate; human factors aspects should be investigated such that lessons are learnt and the true root causes are established in order to prevent recurrence. Whilst many petroleum and allied industry businesses have investigated and analyzed incidents – whether with major hazards or occupational injuries potential – human factors aspects are rarely addressed sufficiently. Therefore, this paper presents a hybrid methodology that combines a conventional Swiss Cheese model with Bayesian inference to predict the failure probability of human factors. An inherent safety concept associated with human factor is proposed and utilized as preventive measures to overcome the identified root causes. This approach is then applied to offshore safety assessment study. As a result, the failure probability of human factor can be monitored with time and the best preventive measure can be prioritized once human performance is degraded. It is proven that the approach has the ability to act as predictive tool that provides early warnings toward human deficiency. A preventive measure can then be taken to enhance the overall human performance and ultimately to reduce the likelihood of major incidents.

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