Relation-based clustering of particle measurements for industrial automation
by Qurban A Memon
International Journal of Automation and Control (IJAAC), Vol. 1, No. 2/3, 2007

Abstract: The objective of this work is to automate intelligently the analysis process of machine particle measurements using a relation-based classification of particle attributes. This is enabled through integration of process information obtained through an image processing system, with an evolving knowledge database for improving the accuracy and predictability of particle analysis. This is achieved by measuring relationships among corresponding attributes from various measurements of the particle. Finally, visualisation technique is proposed that helps the viewer in understanding and utilising these relationships, which enable accurate diagnostics to predict future wear modes.

Online publication date: Mon, 11-Jun-2007

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Automation and Control (IJAAC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com