NDLI: A wavelet-based adaptive MSPCA for process signal monitoring & diagnosis

Content Provider	IEEE Xplore Digital Library
Author	Zhiqiang Geng Qunxiong Zhu
Copyright Year	2004
Description	Author affiliation: Sch. of Inf. Sci. & Technol., Beijing Univ. of Chem. Technol., China (Zhiqiang Geng; Qunxiong Zhu)
Abstract	A novelty method of wavelet-based adaptive multiscale principal component analysis (MSPCA) is proposed for process signal acquisition and diagnosis. The wavelet transform is used to decompose the process signals and at the same time analyze the different scales signals based on multiresolution signal analysis, and then the signals are reconstructed in order to denoise and get rid of disturbances. The adaptive PCA algorithm is adopted to monitor and diagnose abnormal situations on the basis of the multiscale wavelet coefficients, analyze the slow and feeble changes of fault signals that can't be acquisition and monitored by conventional PCA. Furthermore, the theoretic framework and practical process of wavelet-based adaptive MSPCA algorithm about online process signals monitoring and diagnosis are also proposed. Experimental simulations and practical application results verify the validity and dependability of the proposed method.
Sponsorship	Int. Assoc. of Inf. Acquisition Int. Journal of Inf. Acquisition IEEE Robotics and Autom. Soc. Nat. Natural Sci. Found. of China Inst. of Intelligent Machines, CAS Univ. of Sci. and Technol of China
Starting Page	135
Ending Page	139
File Size	710502
Page Count	5
File Format	PDF
ISBN	0780386299
DOI	10.1109/ICIA.2004.1373336
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault diagnosis Chemical sensors Educational technology Signal processing Wavelet analysis Chemical processes Signal analysis Monitoring Chemical technology Principal component analysis
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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