Model-based fault detection and diagnosis optimization for process control rig
One of the challenges research on model based fault detection and diagnosis of a system is finding the accurate models. In this paper, fuzzy logic based model using genetic algorithm for optimizing the membership function is used in the development of fault detection and diagnosis of a process contr...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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IEEE
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/47662/1/Model-based%20fault%20detection%20and%20diagnosis%20optimization%20for%20process%20control%20rig.pdf |
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| author | Abdul Rahman, Ribhan Zafira Yusof, Rubiyah Ismail, Fatimah Sham |
| author_facet | Abdul Rahman, Ribhan Zafira Yusof, Rubiyah Ismail, Fatimah Sham |
| author_sort | Abdul Rahman, Ribhan Zafira |
| collection | UPM |
| description | One of the challenges research on model based fault detection and diagnosis of a system is finding the accurate models. In this paper, fuzzy logic based model using genetic algorithm for optimizing the membership function is used in the development of fault detection and diagnosis of a process control rig. The model is used to generate various residual signals, which relate to the faults of the system. These residual signals are used by artificial neural networks to classify the respective faults and finally to determine the faults of the system. Comparisons of the fault classification technique are done for two different models of the process control rig that are the conventional fuzzy model and the optimized fuzzy-GA model. The results show that the fuzzy-GA model gives more accurate fault classifications as compared to the conventional fuzzy logic model. |
| first_indexed | 2024-03-06T09:02:44Z |
| format | Conference or Workshop Item |
| id | upm.eprints-47662 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T09:02:44Z |
| publishDate | 2013 |
| publisher | IEEE |
| record_format | dspace |
| spelling | upm.eprints-476622016-07-14T01:29:34Z http://psasir.upm.edu.my/id/eprint/47662/ Model-based fault detection and diagnosis optimization for process control rig Abdul Rahman, Ribhan Zafira Yusof, Rubiyah Ismail, Fatimah Sham One of the challenges research on model based fault detection and diagnosis of a system is finding the accurate models. In this paper, fuzzy logic based model using genetic algorithm for optimizing the membership function is used in the development of fault detection and diagnosis of a process control rig. The model is used to generate various residual signals, which relate to the faults of the system. These residual signals are used by artificial neural networks to classify the respective faults and finally to determine the faults of the system. Comparisons of the fault classification technique are done for two different models of the process control rig that are the conventional fuzzy model and the optimized fuzzy-GA model. The results show that the fuzzy-GA model gives more accurate fault classifications as compared to the conventional fuzzy logic model. IEEE 2013 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/47662/1/Model-based%20fault%20detection%20and%20diagnosis%20optimization%20for%20process%20control%20rig.pdf Abdul Rahman, Ribhan Zafira and Yusof, Rubiyah and Ismail, Fatimah Sham (2013) Model-based fault detection and diagnosis optimization for process control rig. In: 9th Asian Control Conference (ASCC 2013), 23-26 June 2013, Istanbul, Turkey. . 10.1109/ASCC.2013.6606106 |
| spellingShingle | Abdul Rahman, Ribhan Zafira Yusof, Rubiyah Ismail, Fatimah Sham Model-based fault detection and diagnosis optimization for process control rig |
| title | Model-based fault detection and diagnosis optimization for process control rig |
| title_full | Model-based fault detection and diagnosis optimization for process control rig |
| title_fullStr | Model-based fault detection and diagnosis optimization for process control rig |
| title_full_unstemmed | Model-based fault detection and diagnosis optimization for process control rig |
| title_short | Model-based fault detection and diagnosis optimization for process control rig |
| title_sort | model based fault detection and diagnosis optimization for process control rig |
| url | http://psasir.upm.edu.my/id/eprint/47662/1/Model-based%20fault%20detection%20and%20diagnosis%20optimization%20for%20process%20control%20rig.pdf |
| work_keys_str_mv | AT abdulrahmanribhanzafira modelbasedfaultdetectionanddiagnosisoptimizationforprocesscontrolrig AT yusofrubiyah modelbasedfaultdetectionanddiagnosisoptimizationforprocesscontrolrig AT ismailfatimahsham modelbasedfaultdetectionanddiagnosisoptimizationforprocesscontrolrig |