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Automated cause and effect analysis for process plants
Cause & Effect (C&E) analysis for process plants is one of the tasks associated with Process Control Engineering (PCE). With the availability of electronic Piping and Instrumentation Diagrams (P&IDs), a Computer-Aided system is developed to carry out the analysis automatically by encodin...
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| Main Authors: | , , , |
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| Format: | Default Conference proceeding |
| Published: |
2009
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/11413 |
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| _version_ | 1818174248109211648 |
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| author | H. An Paul Chung Joe McDonald Jim Madden |
| author_facet | H. An Paul Chung Joe McDonald Jim Madden |
| author_sort | H. An (7169012) |
| collection | Figshare |
| description | Cause & Effect (C&E) analysis for process plants is one of the tasks associated with Process Control Engineering (PCE). With the availability of electronic Piping and Instrumentation Diagrams (P&IDs), a Computer-Aided system is developed to carry out the analysis automatically by encoding knowledge related to PCE in rules so that they can be applied to a given set of P&IDs to produce the corresponding C&E Diagrams. This paper describes how this is achieved. A rule-based system and an instrument checker are developed. They are used to generate the results and the results are displayed in a format that complies with ISO 10418 (ISO, 2003). |
| format | Default Conference proceeding |
| id | rr-article-9403025 |
| institution | Loughborough University |
| publishDate | 2009 |
| record_format | Figshare |
| spelling | rr-article-94030252009-01-01T00:00:00Z Automated cause and effect analysis for process plants H. An (7169012) Paul Chung (1250973) Joe McDonald (7169000) Jim Madden (7169003) Other information and computing sciences not elsewhere classified Science & Technology Technology Engineering, Environmental Engineering, Chemical Engineering Information and Computing Sciences not elsewhere classified Cause & Effect (C&E) analysis for process plants is one of the tasks associated with Process Control Engineering (PCE). With the availability of electronic Piping and Instrumentation Diagrams (P&IDs), a Computer-Aided system is developed to carry out the analysis automatically by encoding knowledge related to PCE in rules so that they can be applied to a given set of P&IDs to produce the corresponding C&E Diagrams. This paper describes how this is achieved. A rule-based system and an instrument checker are developed. They are used to generate the results and the results are displayed in a format that complies with ISO 10418 (ISO, 2003). 2009-01-01T00:00:00Z Text Conference contribution 2134/11413 https://figshare.com/articles/conference_contribution/Automated_cause_and_effect_analysis_for_process_plants/9403025 CC BY-NC-ND 4.0 |
| spellingShingle | Other information and computing sciences not elsewhere classified Science & Technology Technology Engineering, Environmental Engineering, Chemical Engineering Information and Computing Sciences not elsewhere classified H. An Paul Chung Joe McDonald Jim Madden Automated cause and effect analysis for process plants |
| title | Automated cause and effect analysis for process plants |
| title_full | Automated cause and effect analysis for process plants |
| title_fullStr | Automated cause and effect analysis for process plants |
| title_full_unstemmed | Automated cause and effect analysis for process plants |
| title_short | Automated cause and effect analysis for process plants |
| title_sort | automated cause and effect analysis for process plants |
| topic | Other information and computing sciences not elsewhere classified Science & Technology Technology Engineering, Environmental Engineering, Chemical Engineering Information and Computing Sciences not elsewhere classified |
| url | https://hdl.handle.net/2134/11413 |