Introduction
Combining real-time data from ADI OtoSense™ Smart Motor Sensors with AI-driven machine learning cloud-based analytics, the ADI OtoSense™ SMS Cloud platform provides unparalleled insight into assets’ operating conditions—and maintenance needs. Thanks to proprietary ADI OtoSense™ predictive maintenance analytics, you can identify and remediate faults before they affect motor operation.
- ADI OtoSense™ Smart Motor Sensor devices are equipped with five Analog Devices best-in-class sensors that monitor both motor and environmental conditions.
- Smart Motor Sensors are non-intrusive, and can be affixed to motors that are currently in use, avoiding downtime.
- Sensors can analyze data from low-voltage (<1000V) 3-phase induction motors with a motor shaft height of 90 to 400, corresponding to a rated power ranging between 0.37 and 500kW, including almost all IEC and NEMA motors.
- Smart Motor Sensors provide vibration, temperature, and magnetic field data with high degrees of precision and accuracy.
- ADI OtoSense™ Cloud analytics uses machine learning algorithms to not only predict hardware failures but also provide suggestions for remediation.
- Hardware issues are rated on a 10 point fault index scale, providing granular insight into motor conditions.
- Smart Motor Sensors transmit data at regular intervals, ensuring timely delivery of alerts.
- Sensor data, diagnostics, and prescriptive recommendations are made available via a mobile application, a cloud dashboard, and an API.
- Sensor data is stored in the ADI OtoSense™ Cloud, preventing data loss due to power failure.
- Smart Motor Sensors are powered by four replaceable AA batteries.
- A built-in voltage sensor transmits battery life data to the cloud, issuing alerts as needed.