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MIT Aims to STAMP Out Accidents

机译:麻省理工学院旨在杜绝事故

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Nancy Leveson, Ph.D., professor of aeronautics and astronautics at the Massachusetts Institute of Technology (MIT), has been on a 30+ year quest to engineer out hazards that can lead to aircraft accidents. Her Systems Theoretic Accident Model and Processes or, simply, STAMP, eschews the quick-and-dirty, blame-the-pilots approach to post-accident analysis and instead embraces a holistic approach to identifying, analyzing and eliminating a wide range of hazards during aircraft design, development and construction, as well as in everyday operation. "Hazard analysis can be thought of as investigating an accident before it occurs," Leveson writes in her 2004 paper "A New Accident Model for Engineering Safer Systems." "The most effective models will go beyond assigning blame and instead help engineers to learn as much as possible about all the factors involved, including those related to social and organization structures." She emphasizes that when safety investigators simply sift accident data through traditional filters, they risk biasing the results in favor of only historical events or conditions. But if they choose to look outside those constraints, they may uncover a whole host of causal or contributing factors that previously may have been overlooked.
机译:麻省理工学院(MIT)的航空与航天学教授Nancy Leveson博士一直在30多年的时间里寻求解决可能导致飞机事故的危险的方法。她的系统理论事故模型和流程,或者简称为STAMP,避免了对事故后分析的快速,肮脏,自责的方法,而是采用了一种整体方法来识别,分析和消除各种危险。飞机的设计,开发和建造以及日常运营中。 Leveson在2004年的论文中写道:“可以将危害分析视为在事故发生之前进行调查。”“工程安全系统的新事故模型。” “最有效的模型将不仅仅是指责,而是帮助她的工程师尽可能多地了解所涉及的所有因素,包括与社会和组织结构有关的因素。”她强调说,当安全调查员只是简单地通过传统过滤器筛选事故数据时,他们就有可能偏向于结果而只关注历史事件或条件。但是,如果他们选择不考虑这些限制,那么他们可能会发现以前可能被忽略的所有因果关系或促成因素。

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