Condition based Maintenance on Data Streams in Industry 4.0

Abstract

: An asset failure is costly for the manufacturing industry as it causes unplanned downtime. Unplanned downtime halts production lines, and can lead to productivity loss. One of the widely used methods to reduce downtime is to make use of condition based maintenance. The goal of condition based maintenance is to monitor as well as detect present and/or upcoming asset failures and thus reduce unplanned downtime. A newly emerged phenomena is to monitor the asset condition at real-time. Thus, this paper presents the techniques to process data-in-motion in order to monitor the health and condition of industrial assets in real-time. The techniques presented in this paper require no historical and/or labeled data and work well on streaming data.