Aurora Machine Condition Monitoring System

Aurora machine condition monitoring system adopts the concept of distributed edge-computing. It integrates the sensor chip, processor chip, algorithm and network transmission chip into an independent smart sensor, continuously capturing the ultra-high-speed vibration signal from the device. It calculates the time domain and frequency domain feature of the vibration signal, analyzes the assembly problems and component health of the device. The analysis results are uploaded to the cloud through protocols such as MQTT. The remote device can know the running condition of the equipment and pre-schedule the maintenance of the equipment. And there is also provides device management software and services, which can update the algorithm and its parameters remotely, making management very convenient.

Challenges

• Maximize production capacity by improving the OEE of machines.
• Minimize the risk costs by reducing machine unpredicted shutdown.
• Find out the real problem and reduce maintenance time and cost to minimize the cost of maintenance.
• Save time for deployment to minimize time of running a system on the internet.
• There are many machines, and the system construction cost must be minimized.

Solution

• It Continuously monitors 24 hours a day, 365 days, which significantly reduces the risk of equipment unpredicted damage.
• Aurora adopts distributed edge-computing, continuous analyze the high-speed vibration signals, and collect the failure characteristics of equipment and components immediately.
• It has strong adaptability. It can adapt the monitoring work of steady equipment such as exhaust fans, pumps, and motors, as well as the monitoring work of non-steady equipment such as mechanical arm, transmission devices.
• All-in-one design. Integrate sensors, computing units, and wireless transmission modules. Greatly reduced the costs, and make it convenient for mass deployment.
• Open MQTT communication, make it easy for integration with various IoT cloud platforms. So that you can achieve the goal of plant-wide monitoring.

Application Field

• Motors, speed reducers and slide rails in large handling equipment.
• Motors and speed reducers in mechanical arm.
• Machining spindle and moving axis in the machine tools.
• Motors, bearings, speed reducers in the Roll to Roll production equipment.
• Winding motors, bearings, speed reducers in elevator and escalator.
• Motors, bearings, water impellers in water pumps.
• Motors, bearings, rotors in dry vacuum pumps.
• Motors, bearings, wind turbines in exhaust gas turbines.