In key coffee production plants across Europe, 80+ SMS units were deployed. The installation, commissioning, and learning process has been ongoing for two years. ADI OtoSense SMS was deployed in one of the top three factories in terms of annual coffee production, which includes a soluble area for green coffee covering roasting, extraction, evaporation, drying, filling and packaging processes.
A significant detection of a bearing fault on a critical motor underscored the importance of predictive intelligence systems. The SMS units on the critical ventilation system, driving primary air to dry coffee, identified the fault early. This early detection allowed the maintenance team to act promptly, avoiding costly motor replacement (€30,000) and production downtime (€20,000–30,000 per hour), resulting in substantial cost savings.
Identifies electrical and mechanical performance degradation
Supports maintenance prioritization via assessment of severity levels
Provides repair insights and recommendations
Multi-axis, wide bandwidth vibration sensors monitor mechanical health
Magnetic field sensors monitor electrical health
Temperature sensors monitor ambient and motor skin temperature
Combines and interprets high quality, sensing data for higher reliability diagnostics
Creates automated, brand agnostic motor models
Customized model for individual motor & the processes in which it is used
A Major Food/Beverage Manufacturer