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Southampton, UK, January 2018 – Senseye, the leading scalable predictive maintenance software, has announced new 2018 enhancements for its award-winning machine health analysis product.

Senseye’s cloud-based software automates analysis of condition monitoring data and enables advanced prognostic capabilities, automatically diagnosing machine failure as well as forecasting the likelihood of future failure with a high degree of accuracy. By giving fast, direct access to Remaining Useful Life (RUL) information without requiring the user to have a data science background, manufacturers benefit from up to a 40% reduction in maintenance costs, as well as lowered unplanned downtime by up to 50%.

At the core of Senseye is the product’s unique Machine Learning engine. This automatically learns and adapts to machine behaviour and requires no configuration by the end user. Abnormal behaviour...

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