Specifications

and Equipment - 723.2 Data Processing and Image Processing - 921.3 Mathematical
Transformations - 943.3 Special Purpose Instruments
Database: Compendex
Compilation and indexing terms, © 2013 Elsevier Inc.
3.
Accession number: 20132916520870
Title: Research of characteristics extraction based on dynamic pressure signal
Authors: Liu, Wei1, 2 ; Liu, Hong Zhao1/;刘宏昭
Author affiliation:
1 School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology,
Xi'an 710048, China
2 Computer Science and Technology Department, Shaanxi Xueqian Normal University, Xi'an
710061, China
Source title: Applied Mechanics and Materials
Abbreviated source title: Appl. Mech. Mater.
Volume: 329
Monograph title: Advanced Technologies on Measure and Diagnosis, Manufacturing
Systems and Environment Engineering
Issue date: 2013
Publication year: 2013
Pages: 354-358
Language: English
ISSN: 16609336
E-ISSN: 16627482
ISBN-13: 9783037857236
Document type: Conference article (CA)
Conference name: 3rd International Conference on Intelligent Structure and Vibration
Control, ISVC 2013
Conference date: March 22, 2013 - March 24, 2013
Conference location: Chongqing, China
Conference code: 97846
Sponsor: Shanghai Jiao Tong University; Nanyang Normal University; Hebei Polytechnic
University; Henan Institute of Science and Technology; Chongqing University of Arts and Sciences;
et al
Publisher: Trans Tech Publications Ltd, Kreuzstrasse 10, Zurich-Durnten, CH-8635,
Switzerland
Abstract: The accuracy of pattern recognition was determined by the feature selection, and
two methods of the characteristic description were discussed. The results show that the
statistical characteristics could be used as a dynamic pressure signal descriptor, and the
oscillation characteristic of curve is not suitable for describing dynamic pressure signal by itself.
The selection of descriptors of dynamic pressure signal is the precondition to identify the leak
signal and the non-leak signal effectively. © (2013) Trans Tech Publications, Switzerland.
Number of references: 4
Main heading: Pattern recognition