Aircraft Accidents

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Kathleen L Mcfadden - One of the best experts on this subject based on the ideXlab platform.

  • dwi convictions linked to a higher risk of alcohol related Aircraft Accidents
    Human Factors, 2002
    Co-Authors: Kathleen L Mcfadden
    Abstract:

    This paper assesses whether persons convicted of driving while intoxicated (DWI) are at increased risk of alcohol-related general aviation Accidents. Past research has shown a clear link between DWI convictions and pilot-error Accidents in commercial aviation. However, no study in the literature has addressed whether DWI convictions are associated with an increased risk of alcohol-related Aircraft Accidents. To evaluate a hypothesis, a total of 308 912 pilot records over a 10-year period were analyzed using logistic regression. After potentially confounding variables were controlled, DWI convictions were found to be associated with alcohol-related aviation Accidents. Pilots with DWI convictions were about 3.5 times more likely than pilots without convictions to have alcohol-related general aviation Accidents. Actual or potential applications of this research include providing policy makers with data-driven information that is useful in improving decisions related to the medical certification of pilots.

Matthew Dorn - One of the best experts on this subject based on the ideXlab platform.

  • Effects of Maintenance Human Factors in Maintenance-Related Aircraft Accidents
    Transportation Research Record, 1996
    Co-Authors: Matthew Dorn
    Abstract:

    To help prevent maintenance-related Aircraft Accidents the complex factor behind previous Accidents must be understood. Maintenance-related Aircraft accident were studied to determine the effects of maintenance human factors. A taxonomy of causal factors was developed and used to classify the causes of 101 military and civilian Accidents and to determine the frequency of occurence for each factor. The taxonomy identifies elements, such as people and hardware, interfaces between elements (i.e., human factors), and maintenance processes comprised of elements and interfaces. Human factors were found to have a significant effect in the 86 military and 15 civilian maintenancerelated Accidents studied. Whereas investigation boards were found to focus most heavily on element failures, a majority of the failures were found to occur at the process level. Maintenance instructions and their interfaces with the maintainers and inspectors who use them were the most frequently failed elements and interfaces, respectively. Recommendations are made to guide further research, and ideas are provided for improving process analysis by maintenance units and investigation boards.

Appavu Alias S Balamurugan - One of the best experts on this subject based on the ideXlab platform.

  • prediction of warning level in Aircraft Accidents using data mining techniques
    Aeronautical Journal, 2014
    Co-Authors: A Arockia B Christopher, Appavu Alias S Balamurugan
    Abstract:

    Data mining is a data analysis process which is designed for large amounts of data. It proposes a methodology for evaluating risk and safety and describes the main issues of Aircraft Accidents. We have a huge amount of knowledge and data collection in aviation companies. This paper focuses on different feature selectwindion techniques applied to the datasets of airline databases to understand and clean the dataset. CFS subset evaluator, consistency subset evaluator, gain ratio feature evaluator, information gain attribute evaluator, OneR attribute evaluator, principal components attribute transformer, ReliefF attribute evaluatoboundar and symmetrical uncertainty attribute evaluator are used in this study in order to reduce the number of initial attributes. The classification algorithms, such as DT, KNN, SVM, NN and NB, are used to predict the warning level of the component as the class attribute. We have explored the use of different classification techniques on aviation components data. For this purpose Weka software tools are used. This study also proves that the principal components attribute with decision tree classifier would perform better than other attributes and techniques on airline data. Accuracy is also very highly improved. This work may be useful for an aviation company to make better predictions. Some safety recommendations are also addressed to airline companies.

  • feature selection techniques for prediction of warning level in Aircraft Accidents
    International Conference on Advanced Computing, 2013
    Co-Authors: A Arockia B Christopher, Appavu Alias S Balamurugan
    Abstract:

    This paper focuses on different feature selection techniques applied on the huge number of datasets of an airline databases to understand and clean the dataset. CFS Subset Evaluator, Consistency Subset Evaluator, Gain Ratio feature evaluator, Information Gain Attribute Evaluator, OneR feature evaluator, Principal Components Attribute Transformer (PCA), ReliefF Attribute Evaluator and Symmetrical Uncertainty Attribute Evaluator are used in this analysis in order to reduce the dataset. Also the Decision Tree classifier techniques of data mining are used to predict the warning level of the component as the class attribute in Aircraft Accidents for Risk and Safety. For this intention Weka software tools are used. This study also proved that the Principal Components Attribute Transformer would performance better than other attribute evaluators on airline data. This work may be useful for Aviation Company to make better prediction.

M. M. Miglietta - One of the best experts on this subject based on the ideXlab platform.

  • Influence of meteorological phenomena on worldwide Aircraft Accidents, 1967–2010
    Meteorological Applications, 2017
    Co-Authors: Jordi Mazon, Jose I. Rojas, M. Lozano, David Pino, X. Prats, M. M. Miglietta
    Abstract:

    This is the pre-peer reviewed version of the following article: Mazon, J., Rojas, J. I., Lozano, M., Pino, D., Prats, X. and Miglietta, M. M. (2017), Influence of meteorological phenomena on worldwide Aircraft Accidents, 1967–2010. Met. Apps. doi:10.1002/met.1686, which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1002/met.1686/abstract. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.Based on the information available in databases from relevant national and international organizations from 1967 to 2010, an Aviation Weather Accidents Database (AWAD) was built. According to the AWAD, the weather is the\ud primary cause in a growing percentage of annual Aircraft Accidents: from about 40% in 1967 to almost 50% in 2010. While the absolute number of fatalities and injured people due to Aircraft Accidents has decreased significantly, the percentage of fatalities and injured people in Accidents attributed to the weather shows a slight increase in the studied period. The influence of turbulence, clear air turbulence, wind shear, low visibility, rain, icing, snow and storms on Aircraft Accidents was analysed, considering the different phases of flight, the meteorological seasons of the year and the spatial distribution over four zones of the Earth. These zones were defined following meteorological and climatological criteria, instead of using the typical political criteria. A major part of the Accidents and Accidents attributed to the weather occur in latitudes between 12º and 38º in both hemispheres. It is concluded that actions aimed at reducing the risk associated with low visibility, rain and turbulence, in this order, should have priority to achieve the most significant improvements in air transport safety.Postprint (author's final draft

  • influence of meteorological phenomena on worldwide Aircraft Accidents in the period 1967 2010
    Meteorological Applications, 2017
    Co-Authors: Jordi Mazon Bueso, M. Lozano, Jose Ignacio Rojas Gregorio, David Pino Gonzalez, Xavier Prats Menendez, M. M. Miglietta
    Abstract:

    This is the pre-peer reviewed version of the following article: Mazon, J., Rojas, J. I., Lozano, M., Pino, D., Prats, X. and Miglietta, M. M. (2017), Influence of meteorological phenomena on worldwide Aircraft Accidents, 1967–2010. Met. Apps. doi:10.1002/met.1686, which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1002/met.1686/abstract. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.

Sangeeta Maharjan - One of the best experts on this subject based on the ideXlab platform.

  • large scale gravity current over the middle hills of the nepal himalaya implications for Aircraft Accidents
    Journal of Applied Meteorology and Climatology, 2017
    Co-Authors: Ram P Regmi, Toshihiro Kitada, Jimy Dudhia, Sangeeta Maharjan
    Abstract:

    AbstractNepal has been the location of a series of fatal Aircraft Accidents, raising serious concerns about civil aviation security and the safety of passengers. However, significant studies on weather patterns associated with the airports and air routes of the Himalayan complex terrain and their implications for aviation activities are yet to be carried out. The present study numerically reconstructs the prevailing weather conditions and puts forward some possible causes behind the most recent fatal Aircraft accident in the foothills of the western Nepal Himalaya at 0730 UTC (1315 LST) 16 February 2014. The weather patterns have been numerically simulated at 1-km2 horizontal grid resolution using the Weather Research and Forecasting (WRF) modeling system. The reconstructed weather situation shows the existence of a low-level cloud ceiling, supercooled cloud water and hail, trapped mountain waves, supercritical descent of a strong tail wind, and the development of turbulence at the altitude of the flight ...