NDLI: High dimension time series mining based on state transition chain analysis method

Content Provider	IEEE Xplore Digital Library
Author	Lv Zhimin Zhang Kai Zhang Xiangwei Zong Shengyue
Copyright Year	2011
Description	Author affiliation: National Engineering Research Center for Advanced Rolling, University of Sci. & Tech. Beijing, China, 100083 (Lv Zhimin; Zhang Kai; Zhang Xiangwei; Zong Shengyue)
Abstract	In concerned with the high dimensions time series, which have the characteristic of multivariable, time-varying and time-lagging, were collected from multi-stage industrial processes, a method which is used to synchronize high-dimensions time series with temporal and spatial conversion is introduced in this paper. The high-dimensions time series is synchronized in spatial sampling by the conversion method. After the discretization for high-dimensions time series which is preprocessed by synchronization, first the control state is classified into normal state and high risk state by a simple association analysis; then using the method of state transition chain analysis, we successfully find the transition condition when the control system transform normal state into high risk state. This condition can be applied to reduce the quality defects of product and be used to guide the control strategy design of control system.
Starting Page	1518
Ending Page	1521
File Size	314613
Page Count	4
File Format	PDF
ISBN	9781612841809
e-ISBN	9781612841816
DOI	10.1109/FSKD.2011.6019814
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Strips temporal and spatial conversion state space Time series analysis Control systems state transitionl time series data mining Data mining Synchronization
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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