A blended hazard identification methodology to support process diagnosis
A novel hazard identification methodology applied to process systems is presented in this paper. This blended hazard identification (BLHAZID) methodology blends two different types of HAZID methods: the function-driven and component-driven approach. The BLHAZID method is based on a conceptual framew...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/31292 |
| _version_ | 1848753338066141184 |
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| author | Seligmann, Benjamin Németh, E. Hangos, K. Cameron, I. |
| author_facet | Seligmann, Benjamin Németh, E. Hangos, K. Cameron, I. |
| author_sort | Seligmann, Benjamin |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | A novel hazard identification methodology applied to process systems is presented in this paper. This blended hazard identification (BLHAZID) methodology blends two different types of HAZID methods: the function-driven and component-driven approach. The BLHAZID method is based on a conceptual framework called the Functional Systems Framework, which describes structure-function-goal relationships in process systems. The goals of the BLHAZID methodology are to generate outcomes that contain a high coverage of hazards, describe detailed failure causality in process systems and express this knowledge in a structured form for effective reused in subsequent applications, such as fault diagnosis, operator training, design reviews, fault and event tree construction and hazard updates to satisfy major hazard facility requirements. Both the BLHAZID methodology and the Functional Systems Framework were developed with involvement and advice from two major industrial partners. An industrial case study of a benzene saturation unit is presented to illustrate how the BLHAZID methodology operates in practice. |
| first_indexed | 2025-11-14T08:22:55Z |
| format | Journal Article |
| id | curtin-20.500.11937-31292 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:22:55Z |
| publishDate | 2012 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-312922017-09-13T15:22:16Z A blended hazard identification methodology to support process diagnosis Seligmann, Benjamin Németh, E. Hangos, K. Cameron, I. A novel hazard identification methodology applied to process systems is presented in this paper. This blended hazard identification (BLHAZID) methodology blends two different types of HAZID methods: the function-driven and component-driven approach. The BLHAZID method is based on a conceptual framework called the Functional Systems Framework, which describes structure-function-goal relationships in process systems. The goals of the BLHAZID methodology are to generate outcomes that contain a high coverage of hazards, describe detailed failure causality in process systems and express this knowledge in a structured form for effective reused in subsequent applications, such as fault diagnosis, operator training, design reviews, fault and event tree construction and hazard updates to satisfy major hazard facility requirements. Both the BLHAZID methodology and the Functional Systems Framework were developed with involvement and advice from two major industrial partners. An industrial case study of a benzene saturation unit is presented to illustrate how the BLHAZID methodology operates in practice. 2012 Journal Article http://hdl.handle.net/20.500.11937/31292 10.1016/j.jlp.2012.04.012 restricted |
| spellingShingle | Seligmann, Benjamin Németh, E. Hangos, K. Cameron, I. A blended hazard identification methodology to support process diagnosis |
| title | A blended hazard identification methodology to support process diagnosis |
| title_full | A blended hazard identification methodology to support process diagnosis |
| title_fullStr | A blended hazard identification methodology to support process diagnosis |
| title_full_unstemmed | A blended hazard identification methodology to support process diagnosis |
| title_short | A blended hazard identification methodology to support process diagnosis |
| title_sort | blended hazard identification methodology to support process diagnosis |
| url | http://hdl.handle.net/20.500.11937/31292 |