WIT Press

Application Of Pattern Matching Techniques To Example Based Diagnosis

Price

Free (open access)

Paper DOI

10.2495/AI970331

Volume

19

Pages

12

Published

1997

Size

76 kb

Author(s)

D. Lane & P.J. Nolan

Abstract

Because of the demands of modern automated manufacturing systems and the serious implications of machine down time, there has been much attention focussed lately of the early diagnosis of faults. Many methodologies have been suggested and tested, however up until now little research on the applicability of new methodologies has been completed. Our research seeks to rectify this situation. This paper describes a diagnosis approach which uses a fault dictionary derived from detailed simulation modelling of a small electro-mechanical subsystem typically found in machine tool applications. Faults are then classified using one of the new methodologies and the performance evaluated. In this paper comparative results for a variety of methods including Neural Networks, Lear

Keywords