Premium
An intelligent HAZOP quantitative analysis method based on deviation duration
Author(s) -
Zhou GuangWen,
Yang Xia,
Zheng ShiQing,
Cheng XiAn
Publication year - 2020
Publication title -
process safety progress
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.378
H-Index - 40
eISSN - 1547-5913
pISSN - 1066-8527
DOI - 10.1002/prs.12065
Subject(s) - standard deviation , offset (computer science) , superposition principle , hazard and operability study , limit (mathematics) , frequency deviation , computer science , control theory (sociology) , mathematics , statistics , engineering , reliability engineering , artificial intelligence , operability , mathematical analysis , telecommunications , control (management) , automatic frequency control , programming language
The limit of deviation duration is regarded as an important evidence of the possibility of deviation bringing hazards to the system. And the limits of deviation duration are different when the different process parameters reaching the hazardous threshold (or design value) caused by the same deviation value. Furthermore, the sequence of hazards occurring in the system after generating deviations, that is, deviation transfer path, is formed by process parameters arranged in an ascending order based on the limit of the deviation duration and devices involved. T‐SDG model has been proposed after improving the SDG model, so as to show the deviation propagation path of quantitative analysis. Besides, the characteristics of deviation propagation has been researched; and the influence of simultaneous deviations on the system has been also analyzed in detail. Meanwhile, superposition effect, offset effect, and offset curve have been put forward in order to ensure the system security. Highlights In this paper, a quantitative analysis method had been proposed. The definition of the deviation had been extended. The propagation path was researched based on when the parameters reaching the threshold. The influence of the simultaneous occurrence of multiple deviations on the system had researched.