DocumentCode :
620478
Title :
A new usage of reconstruction based contributions for quality-related fault diagnosis
Author :
Gang Li ; Kaixiang Peng ; Jie Ma ; Donghua Zhou
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
fYear :
2013
fDate :
25-27 May 2013
Firstpage :
4297
Lastpage :
4302
Abstract :
Quality-related fault detection attracted more and more attention in quality control and process monitoring. In recent literature, reconstruction based contributions (RBC) are used for isolating faulty variables which affect product quality. If datasets of known faults are available, fault-specific RBCs are used to identify fault types. Otherwise, variable RBCs are used to isolate faulty variables. However, the existing generalized RBC are quite improvable. On one side, fault-specific RBC can not tell faulty variables, which makes it hard to locate fault root. On the other side, it is well known that the variable RBC suffers a lot from the smearing effect, which provides too many candidates of faulty variables. In the present work, a new usage of RBC is derived to select faulty variables without smearing effect on nonfaulty variables. The benchmark examples of Tennessee Eastman (TE) process is used to demonstrate the efficiency of the proposed approach for quality-related fault diagnosis.
Keywords :
fault diagnosis; manufacturing processes; quality control; Tennessee Eastman process; fault root location; fault type identification; fault-specific RBC; faulty variable isolation; faulty variable selection; process monitoring; quality control; quality monitoring; quality-related fault detection; quality-related fault diagnosis; reconstruction based contributions; Educational institutions; Fault detection; Fault diagnosis; Indexes; Monitoring; Principal component analysis; Process control; fault diagnosis and isolation; multidimensional reconstruction based contribution; quality-related faults; smearing effect; total projection to latent structures;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
Type :
conf
DOI :
10.1109/CCDC.2013.6561707
Filename :
6561707
Link To Document :
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