Fault detection and diagnosis using Multivariate Statistical Process Control (MSPC)
Currently, chemical plants face numerous challenges like stringent requirements are needed on the desired final product quality, utilization of a lot of energy, must be environmentally friendly and fulfill safety requirements. High operation cost is needed in order for chemical plants to overcome t...
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| Format: | Book Section |
| Language: | English |
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Penerbit Universiti Sains Malaysia
2004
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| Online Access: | http://eprints.usm.my/43031/1/pED02.pdf |
| _version_ | 1825834728942469120 |
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| author | Mak, Weng Yee Kamarul, Asri Ibrahim |
| author2 | Ahmad, Abdul Latif |
| author_facet | Ahmad, Abdul Latif Mak, Weng Yee Kamarul, Asri Ibrahim |
| author_sort | Mak, Weng Yee |
| collection | USM |
| description | Currently, chemical plants face numerous challenges like stringent requirements are needed on the desired final product quality, utilization of a lot of energy, must be environmentally friendly and fulfill safety requirements. High operation cost is needed in order for chemical plants to overcome the stated challenges. Any faults that are present in a chemical process will yield higher operation cost on the plant due to increase in production of waste, re-work, re-processing and consumption of utilities. Therefore, accurate process fault detection and diagnosis (FDD) on a chemical process at an early stage is important to reduce the cost of operation due to present of faults. |
| first_indexed | 2024-03-06T15:27:03Z |
| format | Book Section |
| id | usm.eprints-43031 |
| institution | Universiti Sains Malaysia |
| language | English |
| last_indexed | 2024-03-06T15:27:03Z |
| publishDate | 2004 |
| publisher | Penerbit Universiti Sains Malaysia |
| record_format | dspace |
| spelling | usm.eprints-430312018-11-27T06:27:08Z http://eprints.usm.my/43031/ Fault detection and diagnosis using Multivariate Statistical Process Control (MSPC) Mak, Weng Yee Kamarul, Asri Ibrahim Q179.9-180 Research Currently, chemical plants face numerous challenges like stringent requirements are needed on the desired final product quality, utilization of a lot of energy, must be environmentally friendly and fulfill safety requirements. High operation cost is needed in order for chemical plants to overcome the stated challenges. Any faults that are present in a chemical process will yield higher operation cost on the plant due to increase in production of waste, re-work, re-processing and consumption of utilities. Therefore, accurate process fault detection and diagnosis (FDD) on a chemical process at an early stage is important to reduce the cost of operation due to present of faults. Penerbit Universiti Sains Malaysia Ahmad, Abdul Latif Yahya, Ahmad Rahim Mohd. Abdullah, Amirul AI-Ashraf Muhammad, Tengku Sifzizul Tengku 2004 Book Section PeerReviewed application/pdf en http://eprints.usm.my/43031/1/pED02.pdf Mak, Weng Yee and Kamarul, Asri Ibrahim (2004) Fault detection and diagnosis using Multivariate Statistical Process Control (MSPC). In: The 4th Annual Seminar of National Science Fellowship NSF 2004 Proceedings. Penerbit Universiti Sains Malaysia, Pulau Pinang, Malaysia, pp. 515-520. |
| spellingShingle | Q179.9-180 Research Mak, Weng Yee Kamarul, Asri Ibrahim Fault detection and diagnosis using Multivariate Statistical Process Control (MSPC) |
| title | Fault detection and diagnosis using Multivariate Statistical Process Control (MSPC) |
| title_full | Fault detection and diagnosis using Multivariate Statistical Process Control (MSPC) |
| title_fullStr | Fault detection and diagnosis using Multivariate Statistical Process Control (MSPC) |
| title_full_unstemmed | Fault detection and diagnosis using Multivariate Statistical Process Control (MSPC) |
| title_short | Fault detection and diagnosis using Multivariate Statistical Process Control (MSPC) |
| title_sort | fault detection and diagnosis using multivariate statistical process control mspc |
| topic | Q179.9-180 Research |
| url | http://eprints.usm.my/43031/1/pED02.pdf |
| work_keys_str_mv | AT makwengyee faultdetectionanddiagnosisusingmultivariatestatisticalprocesscontrolmspc AT kamarulasriibrahim faultdetectionanddiagnosisusingmultivariatestatisticalprocesscontrolmspc |