Improved multivariate statistical process control for chemical process fault detection and diagnosis
This thesis demonstrates the application of Multivariate Statistical Process Control (MSPC) monitoring method that is capable of detecting and diagnosing process faults. Conventionally, r Control Chart and Contribution Chart, which have been widely used for these purposes, are not accurate and sensi...
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| Pengarang Utama: | |
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| Format: | Thesis |
| Bahasa: | English |
| Diterbitkan: |
2004
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| Subjek-subjek: | |
| Capaian Atas Talian: | http://eprints.utm.my/4916/ http://eprints.utm.my/4916/1/LamHonLoongMFKKKSA2004.pdf |
| Penanda-penanda: |
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