Abstract
In the industry there is a great need for diagnostic
tools that are used defining the condition of machinery
and proper timing and contents of maintenance actions.
Making measurement and diagnosis manually is very time
consuming and costly and, therefore, somewhat limited to
more expensive machinery. When the price of sensors and
processing power has reduced, the need for automation of
diagnosis has increased rapidly and consequently the
development of automatic diagnostic tools has become the
bottle neck in introducing condition based maintenance
(CBM) as a means for optimizing maintenance. The
definition of the ontology of diagnosis is a means to
automate the process of creating automatic diagnostic
systems for various kind of machinery and that approach
is presented in this paper. The paper also discusses the
basic principles of diagnosing the condition of rotating
machinery and explains the difficulties in automating
this process. The definition of ontology is given
together with the explanation of the role of standards
and databases in creating the whole approach. Finally the
complete structure of the proposed approach is presented.
Original language | English |
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Title of host publication | Proceedings of the 11th International Conference on the Modern Information Technology in the Innovation Processes of the Industrial Enterprises, MITIP 2009 |
Publisher | Università degli Studi di Bergamo |
Pages | 439-448 |
ISBN (Print) | 978-88-89555-09-05 |
Publication status | Published - 2009 |
MoE publication type | A4 Article in a conference publication |
Event | 1th International Conference on the Modern Information Technology in the Innovation Processes of the Industrial Enterprises, MITIP 2009 - Bergamo, Italy Duration: 15 Oct 2009 → 16 Oct 2009 |
Conference
Conference | 1th International Conference on the Modern Information Technology in the Innovation Processes of the Industrial Enterprises, MITIP 2009 |
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Abbreviated title | MITIP 2009 |
Country/Territory | Italy |
City | Bergamo |
Period | 15/10/09 → 16/10/09 |
Keywords
- condition based maintenance (CBM)
- condition monitoring
- automatic diagnosis
- ontology