Specifications

2 Automation School, Xi'an University of Technology, Xi'an, 230027, China
Source title: 2013 25th Chinese Control and Decision Conference, CCDC 2013
Abbreviated source title: Chin. Control Decis. Conf., CCDC
Monograph title: 2013 25th Chinese Control and Decision Conference, CCDC 2013
Issue date: 2013
Publication year: 2013
Pages: 4927-4931
Article number: 6561826
Language: English
ISBN-13: 9781467355322
Document type: Conference article (CA)
Conference name: 2013 25th Chinese Control and Decision Conference, CCDC 2013
Conference date: May 25, 2013 - May 27, 2013
Conference location: Guiyang, China
Conference code: 98686
Publisher: IEEE Computer Society, 2001 L Street N.W., Suite 700, Washington, DC
20036-4928, United States
Abstract: Time series data mining is an useful tool for us to design data-driven condition
monitoring as well as fault diagnosis system. Aiming at monitoring abnormal changes of dynamic
process, a series of mining algorithms are built up to mine signal form, model structure of
process and statistical properties of noise in sampling data series, the architecture of information
mining system of sampling time series is set up. These algorithms are very fault tolerant for
patchy outliers in sampling data set of the complex system. Results given in this paper can be
used not only in the safety analysis and fault diagnosis of complicated dynamic process but also
in change detection as well as other related fields. © 2013 IEEE.
Number of references: 10
Main heading: Data mining
Controlled terms: Algorithms - Condition monitoring - Time series
Uncontrolled terms: Change detection - Fault diagnosis
systems - Fault-tolerant - Information mining - Mining algorithms - Safety
analysis - Statistical properties - Time series data mining
Classification code: 603 Machine Tools - 706 Electric Transmission and
Distribution - 723 Computer Software, Data Handling and Applications - 921
Mathematics - 922.2 Mathematical Statistics
DOI: 10.1109/CCDC.2013.6561826
Database: Compendex
Compilation and indexing terms, © 2013 Elsevier Inc.
11.
Accession number: 20133416655031
Title: A New Stereo Matching Method Based on the Adaptive Support-Weight Window
Authors: Sui, Liansheng1 ; Gao, Bo1 ; Zhang, Bo1/隋连升;高波;张博
Author affiliation:
1 School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, 710048,