By Topic

Curvilinear component analysis in search of dimensionality and structure of some gearbox data

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Anna Bartkowiak ; University of Wrocław, Institute of Computer Science and Wrocław High School of Applied Informatics, Wrocław, Poland ; Radosław Zimroz

Our aim is to explore some gearbox vibration data characterized by 15 power spectra amplitudes. The data were gathered for two gearboxes: one being in a good state (set B) and the the other in a bad state (set A). In turn, each of the sets was gathered when the machine was operated under small/no load, and under full load. This gives 4 data sets to compare. We are concerned with two topics: 1. Is it possible to compare in a simple way the structure of the four obtained subsets? 2. Could the number of variables be reduced without losing essential information content of the data? To answer both these questions, we use a visual tool, the CCA (Curvilinear Component Analysis) method proposed by Demartines and Herault. Using this tool, we are able to answer positively the above two questions. We use the CCA algorithm in special layout, applying DxDy plots, with emphasis to estimating the overall intrinsic dimensionality of the four groups of data and capture visually the differences in their structure.

Published in:

Computer Science and Information Systems (FedCSIS), 2012 Federated Conference on

Date of Conference:

9-12 Sept. 2012