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- Title
DETECTION, DIAGNOSIS AND ROOT CAUSE ANALYSIS OF SHEET-BREAK IN A PULP AND PAPER MILL WITH ECONOMIC IMPACT ANALYSIS.
- Authors
Imtiaz, S. A.; Shah, S. L.; Patwardhan, R.; Palizban, H. A.; Ruppenstein, J.
- Abstract
Sheet-break is a long standing problem in the pulp and paper industry. This study is concerned with the analysis of process data to diagnose causes of sheet-breaks and therefore significant down times. PCA was used to model the process and a combined index based on the Hotelling's T2 and Squared Prediction Error (SPE) was developed as a sheet-break detection indicator. As the process is subject to external disturbances, changes and frequent interruptions, pre-processing of the data played an important role in getting consistent results. We used several novel techniques for data selection, scaling and modelling. The models were validated using a large validation data set with known fault conditions. The developed model, data visualization tool and engineering judgement was used for off-line diagnosis of root causes of sheet-breaks. Several operational changes were recommended and implemented on the process resulting in significantly reduced sheet-breaks. Key Performance Indicators calculated before and after the changes shows the significant economic gain as a result of this 'data- mining' project.
- Subjects
PAPER industry; PULP mills; PERFORMANCE standards; ENGINEERING; ECONOMIC development; DATA mining
- Publication
Canadian Journal of Chemical Engineering, 2007, Vol 85, Issue 4, p512
- ISSN
0008-4034
- Publication type
Article
- DOI
10.1002/cjce.5450850413