Human reliabilityanalysis (HRA) is necessary for system safety assessment as well as equipment reliabilityanalysis. The cognitive reliability and error analysis method (CREAM) as a representative HRA method provides...
详细信息
Human reliabilityanalysis (HRA) is necessary for system safety assessment as well as equipment reliabilityanalysis. The cognitive reliability and error analysis method (CREAM) as a representative HRA method provides nine common performance conditions (CPCs) to represent the contextual conditions under which a given action is performed. With a scarcity of empirical data, a high uncertainty in analyzing results is produced by subjective judgment. To obtain more objective and effective HRA results, this paper presents an optimized quantification method to evaluate the human error probability (HEP) according to CREAM, and its linguistic variables. The starting point for the quantification is an introduced fuzzy version of CREAM. However, many fuzzy rules are redundant, and occupy extensive computing time. The clonal selection algorithm combined with the fuzzy model is proposed to optimize the rule set. The evaluation method using the fuzzy-clonal selection algorithm is aimed to support possible applications for prospective and retrospective studies in the domain of safety assessment of power systems. The simulations are carried out on four presumed contexts, and a practical power system. The conclusions illuminate the feasibility of the proposed quantitative method.
The foundation of the retrospective and predictive analysis in cognitive reliability and error analysis method (CREAM) is the search of the event sequence caused by human errors. However, there are no standards for CR...
详细信息
ISBN:
(纸本)9781424451036
The foundation of the retrospective and predictive analysis in cognitive reliability and error analysis method (CREAM) is the search of the event sequence caused by human errors. However, there are no standards for CREAM, especially for the analysis of weapon system operation process. This paper presented an improved CREAM based on HAZOP analysis by which the operation steps can be partitioned explicitly, and the causes and the consequences can be evaluated through the deviations analysis. Based on HAZOP analysis, the event-order diagram that described the accident process caused by human error can be acquired. After analyzing the selected event sequence, the root causes of human errors and the probability interval of event sequence can be obtained. An example of diesel engine startup is discussed, which demonstrated the validity of the method for weapon system safety analysis.
Mine hoisting accidents, as common and frequent disasters, the statistics shows 90% of them are caused by human errors. Therefore, studying human reliability of the systems can effectively reduce systems failure due t...
详细信息
ISBN:
(纸本)9781424436705
Mine hoisting accidents, as common and frequent disasters, the statistics shows 90% of them are caused by human errors. Therefore, studying human reliability of the systems can effectively reduce systems failure due to human errors. Although the significance of human reliability has been widely acknowledged, this technology, currently restricted to aerospace, aviation, nuclear industry, is not prevalent in industrial and mining enterprises. So cognitive reliability and error analysis method which is the typical second generation of human reliabilityanalysismethod is utilized to analyze the failure model during mine hoisting operation. It divides the whole process into the basic events which are further divided into basic operation sequences, and analyzes possible failure mode and failure probability of each cognitive activity of operators, and quantitatively calculates the possible failure probability of each basic event. Eventually, according to contribution of each cognitive failure prevention and control measures are put forward from the aspects of management and technology to ensure the reliability of the system by reducing the probability of human error to the minimum acceptable degree.
Mine hoisting accidents,as common and frequent disasters,the statistics shows 90% of them are caused by human errors. Therefore,studying human reliability of the systems can effectively reduce systems failure due ...
详细信息
Mine hoisting accidents,as common and frequent disasters,the statistics shows 90% of them are caused by human errors. Therefore,studying human reliability of the systems can effectively reduce systems failure due to human errors. Although the significance of human reliability has been widely acknowledged,this technology,currently restricted to aerospace,aviation,nuclear industry,is not prevalent in industrial and mining enterprises. So cognitivereliability and erroranalysismethod which is the typical second generation of human reliabilityanalysismethod is utilized to analyze the failure model during mine hoisting operation. It divides the whole process into the basic events which are further divided into basic operation sequences,and analyzes possible failure mode and failure probability of each cognitive activity of operators,and quantitatively calculates the possible failure probability of each basic event Eventually,according to contribution of each cognitive failure prevention and control measures are put forward from the aspects of management and technology to ensure the reliability of the system by reducing the probability of human error to the minimum acceptable degree.
暂无评论