Cloud-based maintenance system acts in real time

By OEM Update Editorial June 29, 2017 12:13 pm

Quick Predict early detection and warning solution provides early detection of problems with rotating equipment in industrial settings

HARMAN, the connected technologies company for the automotive, consumer and enterprise markets, and Intel Corporation recently announced HARMAN Quick Predict – an end-to-end Industrial Internet of Things (IoT) solution that provides early detection of problems with rotating equipment in industrial settings. Quick Predict is developed based on a vibration analytical algorithm developed by Intel.

Unlike other systems, HARMAN Quick Predict generates predictions based on real-time information instead of historical data collected over time. Using advanced machine learning algorithms, the solution enables prediction of potential failure based on capture and analysis of abnormal vibration patterns at the gateway, which are detected and flagged.

The collaboration uses a vibration analytical algorithm developed by Intel and HARMAN Connected Services’ Mobile and Communications Services’ team to deliver an operational product. With HARMAN Quick Predict, enterprises are able to increase equipment uptime, decrease spare parts costs, and optimize the use of their workforce by reducing the number of emergency repairs. The solution collects the high-resolution vibration data needed to detect problems early and provides learning analytics that help map abnormal vibration and rotation speed patterns to associated failure mechanisms.

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