Accident Contributor Interconnection Study as a Basis for Accident Mechanism Prediction

The accident rate in the chemical process industry (CPI) is not decreasing although the large majority of accident causes are known, foreseeable and could be prevented by existing knowledge. Continuous learning and improvement on experience feedback system is essential for process safety. In this pa...

Full description

Saved in:
Bibliographic Details
Published in:Chemical engineering transactions 2014-01, Vol.36
Main Authors: K. Kidam, H. Kamarden, M. Hurme, M.H. Hassim, R.M. Kasmani
Format: Article
Language:English
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The accident rate in the chemical process industry (CPI) is not decreasing although the large majority of accident causes are known, foreseeable and could be prevented by existing knowledge. Continuous learning and improvement on experience feedback system is essential for process safety. In this paper, the experience feedback system is used to generate accident knowledge and understanding on accident mechanism. Accident data such as accident contributors are analysed and their interconnection matrix is develop. The matrix reveals three main functional groups of contributor to accident. Therefore, the likelihood of chronological event of accident could be predicted.
ISSN:2283-9216
DOI:10.3303/CET1436005