What is it about?
In this work, we propose a solution based on massive text mining for automatically suggesting prognosis activities concerning mechanical components.
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Why is it important?
Automatically providing suggestions for predicting the likely status of a mechanical component is a key challenge in a wide variety of industrial domains. Existing solutions based on ontological models have proven to be appropriate for fault diagnosis, but they fail when suggesting activities leading to a successful prognosis of mechanical components.
Perspectives
The great advantage of text mining is that it is possible to automatically analyze vast amounts of unstructured information in order to find strategies that have been successfully exploited, and formally or informally documented, in the past in any part of the world.
Dr Jorge Martinez-Gil
Software Competence Center Hagenberg GmbH
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This page is a summary of: Automatic recommendation of prognosis measures for mechanical components based on massive text mining, January 2017, ACM (Association for Computing Machinery),
DOI: 10.1145/3151759.3151774.
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