NDLI: PLS-based fault-relevant reconstruction

Content Provider	IEEE Xplore Digital Library
Author	Zhang Yingwei Tang Nan
Copyright Year	2014
Description	Author affiliation: Key Lab. of Integrated Autom. of Process Ind., Northeastern Univ., Shenyang, China (Zhang Yingwei; Tang Nan)
Abstract	In this paper, a PLS-based fault-relevant reconstruction method is proposed for fault detection and identification. The PLS-based proposed method finds a set of latent variables to project the training data onto a process space to analyze the problem of reconstruction and is used to find the directions which can best characterize the fault effects relevant to normal status. According to the fault distribution directions, the PLS-based proposed method can eliminate the fault cause and bring faulty statistics under the control limits. The PLS-based proposed method is compared with partial least squares (PLS) to show the feasibility of the novel method, and is applied to two simulated processes. One is a simulated linear process and the other is the penicillin fermentation process. The simulated results show the improvement of the PLS-based proposed method in fault detection and identification.
Starting Page	4258
Ending Page	4263
File Size	357603
Page Count	6
File Format	PDF
ISBN	9781479937073
e-ISBN	9781479937080
DOI	10.1109/CCDC.2014.6852928
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-31
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault diagnosis PLS-based fault-relevant reconstruction method Loading Process control Production Reconstruction algorithms Simulated linear process Partial least squares (PLS) Monitoring Penicillin fermentation process Principal component analysis
Content Type	Text
Resource Type	Article

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