The Experts below are selected from a list of 189 Experts worldwide ranked by ideXlab platform

Ruishan Sun - One of the best experts on this subject based on the ideXlab platform.

  • Analysis of Safety trend in Civil Aviation of China
    2017 4th International Conference on Transportation Information and Safety (ICTIS), 2017
    Co-Authors: Ruishan Sun, Zhibo Yuan, Libin Sun
    Abstract:

    Based on the accidents and incidents database in the governmental website of the Civil Aviation Safety Net of China, the accidents and incidents of Civil Aviation enterprises from 2006 to 2015 in the consequences severity were analyzed and studied systematically and comprehensively. From the aspects of the developing tendency, types, time periods and operation phase of accidents and incidents, etc., a deep and systematic analysis was made by using mathematical statistics method to reveal the inherent characteristics and laws of typical accidents and incidents in the Civil Aviation enterprises. Then, the reason of Safety situation's improving in Civil Aviation was analyzed. Meanwhile, some countermeasures and suggestions on preventing and control of the accidents and incidents in the Civil Aviation enterprises were provided from the following aspects: improving personal ability, completing the Safety management and perfecting reporting and statistics system of accidents and incidents.

  • a comparative study of work Safety standardization and Civil Aviation Safety management system
    International Conference on Mechatronics, 2014
    Co-Authors: Ruishan Sun, Qiong Zhao, Junjie Liu, Wenshan Song
    Abstract:

    International Civil Aviation Organization (ICAO) requires enterprises to implement Safety Management System (SMS), and the state has compulsory requirement for Work Safety Standardization at the same time. To improve the efficiency of Safety management of enterprises, considering Basic norms for work Safety standardization of enterprises (AQ/T9006-2010) and ICAO Safety Management Manual (Doc 9859), the similarities in system architecture, operating foundation, basic objective and top-down Safety responsibility as well as the differences in elements, primary focuses, and specific audit methods between Work Safety Standardization System and SMS are comparatively analyzed. The necessity and possibility of integrating two systems are explored, and the approach by integrating the specific requirements of Work Safety Standardization System into SMS in terms of elements, document system and operation according to the corresponding relationship is proposed, which has important guiding significance in establishing and implementing the integrated system in Civil Aviation enterprises. It can effectively reduce cost and improve the overall level of Safety management. Keywords-Safety management; Work Safety Standardization; Safety Management System; comparative analysis; integration

  • Qualitative Analysis Method of Civil Aviation Safety Information Sources
    ICTIS 2011, 2011
    Co-Authors: Hao Liu, Ruishan Sun
    Abstract:

    There are many research models on causes of accident. Professor Edwards's SHEL (Software Hardware Environment and Liveware) model was presented in 1972, Professor James Reason from Manchester University applied organization, and management considerations into the cause analysis of accident and created Reason model. “Research Institute of Civil Aviation Safety” of Civil Aviation university of China created a new analysis technique in 1996 based on Reason model which was named “Elementary Events Analysis Method”, Wiegmann and Shappell developed the Human Factors Analysis and Classification System (HFACS) model, Threat and Error Management (TEM) analysis technique which not only focuses on a single event but also understands the multi-events system model. Confidential reporting or mandatory reporting is the main source of Civil Aviation Safety information. Using SHEL Model, Reason Model, Elementary Events Analysis, HFACS Model, TEM analysis technique to analyze the selected representative confidential reporting or mandatory reporting respectively, comprehensively compare these qualitative analysis models and techniques, we can clearly know the advantages and disadvantages of each method, help the researcher find the most suitable method. TEM analysis technique is simple and easy to operate. When faced with a large number of accident / incident cases, TEM analysis technique will help complete the task efficiently. If one wants to get a specific analysis of accident / incident, HFACS model is suggested.

  • study on the organizational factors in Civil Aviation Safety
    International Conference on Transportation Information and Safety, 2011
    Co-Authors: Jing Cui, Ruishan Sun
    Abstract:

    In recent years, human factor researches show that the organization factors have become key factors for Civil Aviation enterprises to improve safey. Only by finding out the potential errors and working out the precautionary air Safety programmes on the organizational level, the accident rate be expected to decline substantially. Based on the appropriate classification of the organizational factors, the research analyses the impact of organizational factors on Safety from the perspectives of resource management, process management, organizational atmosphere, and organizational supervision. Besides, the relevant data obtained through questionnaire is analyzed using SPSS13.0 software. With the aid of AMOS17.0 software, this research establishes a Structural Equation Model analyzing impact of organizational factors on Safety, and observes the impacting degree and mechanism of the factors.

Brendan P Williams - One of the best experts on this subject based on the ideXlab platform.

  • risk management of uas robust autonomy for integration into Civil Aviation Safety frameworks
    Australian System Safety Conference (ASSC 2013), 2013
    Co-Authors: Tristan Perez, Reece A Clothier, Brendan P Williams
    Abstract:

    This paper discusses a model of the Civil Aviation reg- ulation framework and shows how the current assess- ment of reliability and risk for piloted aircraft has a limited applicability for Unmanned Aircraft Systems (UAS) as technology moves towards higher levels of autonomous decision making. Then, a new frame- work for risk management of robust autonomy is pro- posed, which arises from combining quantied mea- sures of risk with normative decision making. The term Robust Autonomy describes the ability of an au- tonomous system to either continue or abort its oper- ation whilst not breaching a minimum level of accept- able Safety in the presence of anomalous conditions. The term combines reliability, Safety, and robust- ness. The decision making associated with risk man- agement requires quantifying probabilities associated with the measures of risk and also consequences of outcomes related to the behaviour of autonomy. The probabilities are computed from an assessment under both nominal and anomalous scenarios described by faults, which can be associated with the aircraft's ac- tuators, sensors, communication link, changes in dy- namics, and the presence of other aircraft in the op- erational space. The consequences of outcomes are characterised by a loss function quanties the desir- ability of the outcomes.

  • risk management of uas robust autonomy for its integration into Civil Aviation Safety frameworks
    School of Electrical Engineering & Computer Science; Science & Engineering Faculty, 2013
    Co-Authors: Reece A Clothier, Tristan Perez, Brendan P Williams
    Abstract:

    This paper discusses a model of the Civil Aviation reg- ulation framework and shows how the current assess- ment of reliability and risk for piloted aircraft has limited applicability for Unmanned Aircraft Systems (UAS) with high levels of autonomous decision mak- ing. Then, a new framework for risk management of robust autonomy is proposed, which arises from combining quantified measures of risk with normative decision making. The term Robust Autonomy de- scribes the ability of an autonomous system to either continue or abort its operation whilst not breaching a minimum level of acceptable Safety in the presence of anomalous conditions. The decision making associ- ated with risk management requires quantifying prob- abilities associated with the measures of risk and also consequences of outcomes related to the behaviour of autonomy. The probabilities are computed from an assessment under both nominal and anomalous sce- narios described by faults, which can be associated with the aircraft’s actuators, sensors, communication link, changes in dynamics, and the presence of other aircraft in the operational space. The consequences of outcomes are characterised by a loss function which rewards the certification decision

Jianhua Zhao - One of the best experts on this subject based on the ideXlab platform.

  • Civil Aviation Safety risk assessment for rare events
    IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019
    Co-Authors: Xiaojing Yan, Huawei Wang, Jianhua Zhao
    Abstract:

    Civil Aviation Safety accidents are rare, and are typical small-probability risk accidents. However, no accidents do not mean that there are no Safety hazards. Analysis of such small-probability and minimum probability of Safety risks, for the accurate assessment of Civil Aviation Safety risk levels, Targeted management strategies are important. This paper proposes a method for mapping small-probability events to the ANN using fault tree mapping to overcome the limitations of the fault tree model in dynamic risk analysis. This paper takes the Civil Aviation maintenance system as an example to analyze the Safety of the accident caused by the engine, establish a fault tree and map it one by one, and use the artificial neural network for multiple training. Using the example, the results are compared with the FT results. It is found that the matching rate between ANN and FT results is high, indicating that the model of ANN with FT mapping is a technique with reasonable risk assessment. The method proposed in this paper can also be applied to other high-reliability comprehensive systems for example nuclear oriented plant systems and power structures.

Huawei Wang - One of the best experts on this subject based on the ideXlab platform.

  • Civil Aviation Safety risk assessment for rare events
    IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019
    Co-Authors: Xiaojing Yan, Huawei Wang, Jianhua Zhao
    Abstract:

    Civil Aviation Safety accidents are rare, and are typical small-probability risk accidents. However, no accidents do not mean that there are no Safety hazards. Analysis of such small-probability and minimum probability of Safety risks, for the accurate assessment of Civil Aviation Safety risk levels, Targeted management strategies are important. This paper proposes a method for mapping small-probability events to the ANN using fault tree mapping to overcome the limitations of the fault tree model in dynamic risk analysis. This paper takes the Civil Aviation maintenance system as an example to analyze the Safety of the accident caused by the engine, establish a fault tree and map it one by one, and use the artificial neural network for multiple training. Using the example, the results are compared with the FT results. It is found that the matching rate between ANN and FT results is high, indicating that the model of ANN with FT mapping is a technique with reasonable risk assessment. The method proposed in this paper can also be applied to other high-reliability comprehensive systems for example nuclear oriented plant systems and power structures.

  • Civil Aviation Safety evaluation based on deep belief network and principal component analysis
    Safety Science, 2019
    Co-Authors: Huawei Wang, Changchang Che, Jiyu Hong, Zhongdong Sun
    Abstract:

    Abstract Civil Aviation in modern industries is becoming increasingly automatic, precise, and efficient. Serious accidents and unsafe incidents are used to describe and investigate the Safety level. Therefore, effectively predicting big data from these features and accurately identifying the Safety level with advanced theories are new issues in Civil Aviation. The prediction of serious flight incident rate for unsafe events is proposed on the basis of deep learning considering the characteristics of big data. In this method, deep belief network (DBN) is combined with Principal Component Analysis (PCA). The deep architecture is beneficial for Safety prediction because each layer learns more complex features than the layers before. Compared with the previous prediction based on historical accident data, The DBN predicts the serious flight incident rate based on the results from PCA. Results indicate that the prediction data of PAC-DBN is consistent with the actual data of serious flight incident rate. The proposed method is superior to forecasting the serious flight incident rate compared with the gray neural network method, support vector regression, DBN. Simultaneously, the main influencing factors can be extracted to reduce flight incident rate.

  • Bayesian Network Assessment Method for Civil Aviation Safety Based on Flight Delays
    Mathematical Problems in Engineering, 2013
    Co-Authors: Huawei Wang, Jun Gao
    Abstract:

    Flight delays and Safety are the principal contradictions in the sound development of Civil Aviation. Flight delays often come up and induce Civil Aviation Safety risk simultaneously. Based on flight delays, the random characteristics of Civil Aviation Safety risk are analyzed. Flight delays have been deemed to a potential Safety hazard. The change rules and characteristics of Civil Aviation Safety risk based on flight delays have been analyzed. Bayesian networks (BN) have been used to build the Aviation operation Safety assessment model based on flight delay. The structure and parameters learning of the model have been researched. By using BN model, some airline in China has been selected to assess Safety risk of Civil Aviation. The Civil Aviation Safety risk of BN model has been assessed by GeNIe software. The research results show that flight delay, which increases the Safety risk of Civil Aviation, can be seen as incremental Safety risk. The effectiveness and correctness of the model have been tested and verified.

Tej Singh - One of the best experts on this subject based on the ideXlab platform.

  • investigating the moderating effects of multi group on Safety performance the case of Civil Aviation
    Case studies on transport policy, 2019
    Co-Authors: Vedant Singh, Somesh Kumar Sharma, Indu Chadha, Tej Singh
    Abstract:

    Abstract The main purpose of this study is to analyze the moderating effects of the multi-group in the relationship Safety management system (SMS) and human factors (HF) and Civil Aviation Safety (CAS) performance and to highlight the impact of Safety climate factors on the Safety performance. This investigation used the structural equation modelling approach to explore the factors that significantly affect the CAS performance. Specifically, this study is based on the data from 733 Safety experts of Aviation. Moderating effects of multi-group were originated in the relationship between the SMS and HF and CAS performance. This study provides Civil Aviation sector with valuable information for designing effective strategies to improve CAS performance.