Output details
12 - Aeronautical, Mechanical, Chemical and Manufacturing Engineering
University of Strathclyde
Article title
An investigation into machine pattern recognition based on time-frequency image feature extraction using a support vector machine
Type
D - Journal article
Title of journal
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
Article number
-
Volume number
224
Issue number
4
First page of article
981
ISSN of journal
0954-4062
Year of publication
2010
URL
-
Number of additional authors
2
Additional information
The study focuses on methodology developed for processing and analysing signals with non-stationary and non-linear features which is very cutting edge R&D in pattern recognition for engine working conditions monitoring. The method is based on time-frequency image (TFI) feature extraction and support vector machines (SVMs). The new developed method is more accurate and convenient engine working conditions monitoring. The research has resulted in industrial application in Shenyang Blower Works Group Corporation, China [Qiang Yan: spm006@126.com]..
Interdisciplinary
-
Cross-referral requested
-
Research group
C - Energy, Sustainability & Environment
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
