Abstract
In order to increase the accuracy of human reliability analysis for offshore operation, a quantitative analysis model is proposed based on cognitive reliability and error analysis method (CREAM) in this paper. Firstly, the common performance conditions (CPC) of CREAM are classified systematically according to the characteristics of offshore environment. Secondly, the relationship between CPC score and control modes is determined by using the BP neural network to improve the veracity of CREAM. Thirdly, the neural network model of the human reliability for offshore operation is proposed. Fourthly, the human error probability is calculated according to the revised formula. Finally, a case study is demonstrated to validate the feasibility of this method.
| Original language | English |
|---|---|
| Pages (from-to) | 403-414 |
| Number of pages | 12 |
| Journal | International Journal of Information and Management Sciences |
| Volume | 29 |
| Issue number | 4 |
| DOIs | |
| State | Published - 2018 |
| Externally published | Yes |
Keywords
- Cream
- Human reliability analysis
- Neural network
- Offshore operation