Authors:
Thi-Bich-Ngoc Hoang
;
Ba-Huy Tran
and
Marzieh Mozafari
Affiliation:
Capgemini Engineering, France
Keyword(s):
Maintenance Task, Process Ontology, Graphical Illustration, Technical Language Processing, Information Extraction, Aircraft Maintenance Manual.
Abstract:
Industrial maintenance is a strategic business function. Over the past twenty years, the role of maintenance in companies has become increasingly important both technologically and economically. However, maintenance service has not taken into account the frequent change in maintenance knowledge, the users’ perspective (the training, the origins, or the cultures), and the users’ support documents preferences. In this article, we propose preliminary results of an approach to make industrial maintenance universal. We use natural language processing techniques to extract core information from maintenance text and then construct a knowledge base to store all relevant information about maintenance processes, domain information, and corresponding graphics. Finally, we generate a graphical representation of input text to help better understand the procedure, thus increasing the user experience and the performance of maintenance operations in terms of reducing time and cost. This approach is
first applied to aircraft maintenance and can be applied to maintenance in other industry domains as well.
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