Remote Monitoring of Bearings
Mechanical failures from bearing damage can cause huge losses. To better monitor bearing status and perform preventive maintenance, InHand Networks offers the IG902 edge computing gateway. This solution acquires real-time bearing data and uploads it to the cloud for analysis and maintenance.
Background
Bearing as an essential part of rotating machinery and are widely used in various industrial fields. Approximately 30% of mechanical failures worldwide are caused by bearing damage each year, significantly impacting equipment operation.
During machinery operation, a lack of oil, collision, friction and other factors may lead to an increase in bearing temperature, causing “burning shaft” phenomenon. Fatigue wear, indentation, cracks, surface peeling, adhesive and impurities can incur abnormal vibration and damage of bearings; in worse cases, the anchor bolt may vibrate or break, with bearing burned out and bearing bush flying out. Therefore, it is necessary to monitor the running state of bearings in order to avoid sudden failures.
Customer Requirements
Real-time Health Monitoring
Implement real-time monitoring of the bearing’s status, including parameters such as vibration, temperature, and bearing load, to proactively detect potential issues.
Lifespan and Maintenance Planning
Achieve the prediction of bearing lifespan and provide intelligent maintenance plan recommendations to reduce maintenance costs and minimize unplanned downtime.
Anomaly Alerts and Notifications
Establish an anomaly detection mechanism to continuously monitor the bearing’s real-time status. In the event of an issue, promptly notify operators through alerts and notifications to minimize losses.
Data Analysis and Optimization
Provide data analysis tools to optimize bearing usage, enhance performance, and generate regular reports.
Solution
InHand Networks offers a remote monitoring solution for bearings featuring the InGateway902 industrial edge computing gateway. This solution collects data on bearing status (vibration, lubrication, temperature, abrasion, etc.) and uploads it to the cloud for analysis and preventive maintenance.
The solution consists of bearings, sensors (vibration, temperature, lubrication, etc.), the IG902, the Device Manager, and a third-party cloud. Data collected by sensors are transmitted to the IG902, where sensor protocols are analyzed. The IG902 then sends the data to the cloud in a standard format. In the cloud, data are stored and analyzed, enabling evaluation of bearing status and providing maintenance staff with actionable insights.
Benefits
Fast, secure and reliable connectivity
Available with LTE CAT4/CAT1 cellular networks, Wi-Fi and wired connection, multiple link redundancy technologies and security strategies, the IG902 provides fast, secure and uninterrupted network access, ensuring that devices are constantly connected.
Easy configuration for data acquisition
The IG902 supports multiple PLC protocols and major IoT clouds. Onsite devices can be connected to the cloud through simple configuration in minutes.
Powerful computing & intelligent data processing
Built with ARM Cortex-A8 processor, the IG902 features powerful edge computing and data analysis capabilities. Data collected from PLCs can be preprocessed on the edge, relieving the load in the cloud while quickening response to the data source.
Support for remote access, easier maintenance
The IG902 can work with the InConnect remote access service, enabling engineers to maintain PLC data anytime anywhere.
Products
More Applications
Featuring powerful edge computing capabilities, support for multiple industrial protocols and IoT clouds, the IG502 performs reliable remote monitoring for air compressors.
Featuring strong data transmission and edge computing capabilities, the IG502 offers a remote monitoring solution for distributed machines and enhances efficiency for facility operation and maintenance.
The IR915 4G industrial router offers reliable wireless communications to the system, enables remote maintenance, diagnostics and early warning, reducing equipment downtime and enhancing the efficiency of manufacturers.