Improve total production by 30%
using condition monitoring
Apply advanced analytics to manufacturers’ data to optimize the productivity of individual assets.
Boost overall manufacturing operation availability by deploying IoT in conjunction with other tools to enable operators to maximize their productivity and profitability. (McKinsey 2017)
Reduce unplanned outages with smart AI
and diagnostican evaluated alerts
Sensors connected to IoT device continuously collect data about the state of an asset. The data are interpreted by AI, which sends alerts to nGuard platform, when character of the signal indicates coming mechanical failure or if the critical levels of vibrations/noise or are exceeded.
Real-time failure detection
Energy and equipment cost savings
5 steps for confident online
condition based maintenance
Neuron soundware provides you with all necessary equipment and knowledge to start real-time remote monitoring within hours from nEdge IoT device delivery.
The automated data collection allows you to manage your maintenance based on valid and accurate data and thus optimize your maintenance processes.
Easy setup allows for the service to start in a few days.
24/7 data collection, immediate results in nGuard platform.
Continuous algorithm improvement.
Smart alerts allow you to focus your efforts.
Full OEE and utilization data.
Decided for asset maintenance control automation?
Follow our customers’ experience
with your plant
“This Neuron system is a vital tool that will be very helpful in the future for Maxion”
“The cost savings of using the predictive analytics and alert detection alone will more than pay for the cost of the service not to mention the costly rental fees and downtime that is accrued when compressors go down. Mieszko and his Team provide a great service and product that is well appreciated by the Maxion Team.”
Industrial Control Specialist
All insights you need to see.
At one dashboard
Easily monitor the condition of your assets.
Clear and user-friendly dashboards provide you with all data needed for reliable operation and precise decision-making.
To make data driven decisions we provide you all machine data processed to easy to read information from any device
Identify bottlenecks through machine health fleet management
All machines at one management dashboard. Uptime and downtime over all assets to help you improve production efficency.
Transparent machine history at one look
Investigate whether the machines were working according to the plan. Check the detected alerts.
The monitoring of complex machines with multiple components requires the installation of several sensors. Use sensor level drill-down view to understand component level health.
Learn from the most recent use cases
how we can apply the technology also in your case
Extending lifespan of metro escalators
Escalators in a subway transport a million passengers every day. With a condition monitoring system, the operator prevents failures and optimizes maintenance schedules.
Repair costs decrease on cogeneration units
When cogeneration units break, the trouble is that not all parts and functions are available on demand. By monitoring the condition of these assets, the operator saves on repair costs as well as downtime costs.
Robotic arm monitoring with augmented reality
Machine learning algorithms analyze acoustic patterns in real-time and thus detect mechanical wear or malfunctions of the robot at an early stage. This can significantly minimize the unplanned downtimes in the production process.