一篇应用贝叶斯网络方法对高空坠落进行研究的好文献

smqinghua · 发表于 2012-4-20 14:49

本帖最后由 smqinghua 于 2012-4-20 14:51 编辑

This article analyses, using Bayesian networks, the circumstances surrounding workplace tasks performed using auxiliary equipment (ladders, scaffolding, etc.) that may result in falls. The information source was a survey of employees working at a height. We were able to determine the usefulness of this approach – innovative in the accident research field – in identifying the causes that have the greatest bearing on accidents involving auxiliary equipment: in these cases, the adoption of incorrect postures during work and a worker’s inadequate knowledge of safety regulations. Likewise, the duration of tasks was also associated with both these variables, and therefore, with the accident rate. Bayesian networks also enable dependency relationships to be established between the different causes of accidents. This information – which is not usually furnished by conventional statistical methods applied in the field of labour risk prevention – allow a causality model to be defined for workplace accidents in a more realistic way. With this statistic tool, the expert is also provided with useful information that can be input to a management model for labour risk prevention.

西山居士 · 发表于 2012-4-20 19:22

谁能翻译一下呀，真想学习，哈哈

125330535 · 发表于 2012-4-20 23:05

全英啊，看不懂

SUIBIAN1978 · 发表于 2012-4-21 11:12

学习谢谢

chenhuihe · 发表于 2012-5-31 17:43

学习提高

regleoa · 发表于 2012-6-1 09:32

还要翻译看去。呵呵

525xuelang · 发表于 2013-9-13 22:35

英文好资料，楼主多分享哈

regleoa · 发表于 2013-9-14 14:27

谁能翻译一下呀，真想学习，哈哈

漠视风情 · 发表于 2013-12-6 08:39

好东西啊不过纯英文看起来有点吃力

fbi4587 · 发表于 2017-11-28 15:57

下载了，慢慢研究。

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一篇应用贝叶斯网络方法对高空坠落进行研究的好文献

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