SAM GUARD®

The Predictor

SAM GUARD, SAMSON's predictive monitoring and diagnostics system, detects failures before they actually happen. SAM GUARD combines artificial intelligence (AI) with human experience and plant know-how (human-enhanced machine learning) to maximize the availability, performance and productivity of your plant.

Features at a glance

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Everything at a glance

SAM GUARD comes with sophisticated, scalable algorithms that are capable of monitoring the entire plant even if only very few events occur daily.

Analytical Monitoring Service

SAM GUARD is assisted by a worldwide team of experienced process engineers who can quickly extract key information about your plant.

Short-term implementation phase

With a swift implementation process and your existing data, SAM GUARD is up and running quickly, analyzing your plant data and predicting failures.

Universal suitability

SAM GUARD

Numerous applications in different sectors underline that actual money can be saved by using SAM GUARD. Early warning messages help prevent severe damage to crucial parts and achieve resource-friendly plant operation. SAM GUARD monitors the entire plant, also those plant sections with allegedly optimal operation. With SAM GUARD, plant downtime is demonstrably reduced, improving the availability of your plant.

Our worldwide team of process engineering experts supports you throughout the entire project: they monitor your plant and provide you with the most valuable information. There is no need for your plant operators to familiarize themselves with the system since all the information is presented in the follow-up meeting.

SAM GUARD can be hosted in the cloud as well as on your premises, which allows you to select the security level that suits your needs.

SAM GUARD relies on the existing historical plant data so that no additional sensors are required and no external dependencies are created.

Trade show impressions

SAM GUARD at ACHEMA 2022

SAM GUARD

Predictive maintenance

Predictive maintenance

Quick and accurate identification of equipment failures and suspicious operation modes days to weeks before a failure would occur