Author : Noorlisa Harun
Publisher : LAP Lambert Academic Publishing
ISBN 13 : 9783659177651
Total Pages : 172 pages
Book Rating : 4.1/5 (776 download)
Book Synopsis Fault Detection and Diagnosis Via Improved Statistical Process Control by : Noorlisa Harun
Download or read book Fault Detection and Diagnosis Via Improved Statistical Process Control written by Noorlisa Harun and published by LAP Lambert Academic Publishing. This book was released on 2012-07 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multivariate Statistical Process Control (MSPC) technique has been widely used for fault detection and diagnosis (FDD). Currently, contribution plots are used as basic tools for fault diagnosis in MSPC approaches. This plot does not exactly diagnose the fault, it just provides greater insight into possible causes and thereby narrow down the search. Hence, the cause of the faults cannot be found in a straightforward manner. Therefore, this study is conducted to introduce a new approach for detecting and diagnosing fault via correlation technique. Multivariate analysis technique i.e Principal Component Analysis, PCA and Partial Correlation Analysis, PCorrA are utilized to determine the correlation coefficient between quality variables and process variables. A precut multicomponent distillation column that has been installed with controllers is used as the study unit operation. Improved SPC method is implemented to detect and diagnose various kinds of faults, which occur in the process. Individual charting technique such as Shewhart, Exponential Weight Moving Average (EWMA) and Moving Average and Moving Range (MAMR) charts are used to facilitate the FDD.