Browse Publications Technical Papers 2020-01-0051

Putting failure in context - Importance of the Digital Twin & Digital Thread for Predictive Maintenance in Aerospace 2020-01-0051

KEYWORDS Digital Thread, Digital Twin, Predictive Maintenance ABSTRACT Competitive disruption combined with economic uncertainty and regulatory pressure is forcing fundamental changes in the maintenance industry. At the same time, new complexities are being introduced with next generation aircraft and changing business models. Initiatives for greater efficiencies, optimization and predictive maintenance are becoming critical to survival as market realities continue to unfold. Yet, most organization's digital strategies focus on technology infrastructure like big data clouds, data lakes and analytics for performance data without taking into account the necessary context for interpretation, analysis and simulation - the Digital Twin configuration. In many cases, the disconnected nature of existing processes and systems actually make utilizing time series data generated during operation difficult or even impossible. In addition, the ability to understand and act upon these data often require traceability to information from previous activities - a Digital Thread. To complicate matters further when artificial intelligence / machine learning is introduced the necessity becomes even greater. In this session, the authors will discuss why global maintenance operations will require the configuration and traceability context of the Digital Twin & Digital Thread, and discuss new approaches to realize these scenarios.


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