文章基本信息

标题：Towards Using Digital Intelligent Assistants to Put Humans in the Loop of Predictive Maintenance Systems
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作者：Stefan Wellsandt ; Konstantin Klein ; Karl Hribernik 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2021
卷号：54
期号：1
页码：49-54
DOI：10.1016/j.ifacol.2021.08.005
语种：English
出版社：Elsevier
摘要：AbstractPredictive maintenance systems are socio-technical systems where the interaction between maintenance personnel and the technical system is critical to achieving maintenance goals. Employees who use a predictive maintenance system should explore, modify, and verify their analysis and decision-making methods and rules. Conventional modes of interaction make this difficult since they are often hard to understand, obtrusive and unintuitive. Digital Intelligent Assistants (DIAs) provide fast, intuitive, and potentially hands-free access to systems through voice-based interaction and cognitive assistance. This paper introduces a novel approach to interact with predictive maintenance systems through DIAs. The aim is to integrate human knowledge more effectively into the predictive maintenance process to create a hybrid-intelligence system. In such systems, humans and computers complement and evolve together.
关键词：KeywordsEngineering Applications of Artificial IntelligencePredictive MaintenanceHuman-Automation IntegrationHybrid Intelligence Systems