Implicit Learning for Efficient Maintenance Support

Implicit learning is a key to efficiency that our brains provide. Applying implicit learning skills to support real-time maintenance planning is proposed. This paper presents mechanisms where neuroscience concepts and machine learning are integrated. Theoretical justification is given so that, ultimately, efficient real-time system monitoring is achievable.