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| 001 | vtls000075899 | ||
| 003 | KUKTEM | ||
| 005 | 20251114204550.0 | ||
| 008 | 131107t2013 my da f m 000 0 eng d | ||
| 020 | _aTHE0002027(Local) | ||
| 039 | 9 |
_a201905131610 _byusri _c201311131648 _dnabilah _y201311071508 _znabilah |
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| 040 | _aUMP | ||
| 090 | _aQA278.5 .F33 2013 rs Bc. | ||
| 100 | 0 | _aNurul Fadhilah Roslan | |
| 245 | 1 | 0 |
_aDevelopment of PCA-based fault detection system based on various modes of NOC models for continuous-based process / _cNurul Fadhilah Roslan |
| 260 |
_aKuantan, Pahang : _bUMP, _c2013 |
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| 300 |
_axiv, 61 p. : _bill. ; _c30 cm. + _e1 CD-ROM |
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| 502 | _aProject paper (Bachelor of Chemical Engineering) -- Universiti Malaysia Pahang – 2013 | ||
| 504 | _aBibliography : p. 48-53 | ||
| 520 | 3 | _aMultivariate statistical techniques are used to develop detection methodology for abnormal process behavior and diagnosis of disturbance which causing poor process performance (Raich and Cinar, 2004). Hence, this study is about the development of principal component analysis (PCA) -based fault detection system based on various modes of normal operating condition (NOC) models for continuous-based process. Detecting out-of-control status and diagnosing disturbances leading to the abnormal process operation early are crucial in minimizing product quality variations (Raich and Cinar,2004). The scope of the proposed study is to run traditionally multivariate statistical process monitoring (MSPM) by defining mode difference in variance for continuous-based process. The methodology used to identify and detection of fault which undergo two phase which phase I is off-line monitoring while phase II is on-line monitoring. As a result, it will be analyze and compared of the implementing traditional PCA of Single NOC modes and Multiple NOC modes. Particularly, this study is critically concerned more on the performance during the fault detection operations comprising both off-line and on-line applications, hence it will analyze until fault detection and comparing between two modes of NOC data. | |
| 650 | 0 | _aPrincipal component analysis | |
| 650 | 0 |
_aProcess control _xStatistical methods |
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| 650 | 0 | _aMultivariate analysis | |
| 999 |
_aVIRTUA40 _c4222 _d4228 |
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