SamsonBASE is an anomaly detection and predictive maintenance solution. It uses state-of-the-art machine learning techniques to analyse your asset data, and provide your organisation with the insights to:
Maximise overall equipment effectiveness (OEE)
Reduce unplanned downtime
Improve maintenance practices
SamsonBASE collects sensor data streamed from your assets. Data is securely transferred to our cloud provider where our analytics and machine learning models kick in to deliver insights on the health of your assets. The insights are then delivered back to your system, where they can be actioned by the maintenance team.
Using the sensor data of any given asset, SamsonBASE can learn what performance metrics are typical when an asset is operating normally. When the metrics of the asset become abnormal, it can then identify an anomaly of operation and raise incident notifications to your maintenance team.
Using the sensor and failure data of any given asset, SamsonBASE can learn what data trends and patterns have preceded past asset failures. It can then identify when the pattern of failure is beginning, and raise an incident notification for your maintenance team.
Predictive Maintenance requires data from several instances of failure in order to correctly identify the relevant trends and patterns of the failures.
Servitly & SamsonVT partnership
SamsonVT has announced a partnership with online IoT-based service-oriented software provider Servitly.
This partnership will allow Servitly’s customers easy access to SamsonVT’s AI-empowered anomaly detection solution SamsonBASE through a new plugin available in the platform.
For more information click here.
Get in touch with the data science team to discover valuable insights about your business today.