Artificial Intelligence in Maintenance: The Industrial Application of Natural Language Processing

Abstract

Text- and natural language processing improved a lot in the recent years. Applications like translators, chatbots and virtual assistants made the everyday life easier, but the industrial use of the technology and its potential in the maintenance planning remained unexploited. In this paper we present two possible ways how to utilize these algorithms to achieve their positive benefits. For humans it’s often impossible to handle historical maintenance data and error logs due to their enormous amount or because the descriptions of errors are subjective. With the analysis of error messages, maintenance and shift logs, the correlations between failures and events can be detected, thus the effectiveness of the maintenance planning and the interventions can be increased.