Maintenance 4.0, data-based maintenance
Maintenance automation provides a constant overview of the condition of machines, reduces downtime and repair costs and increases operational efficiency.Book a demo
Strengthen your operation availability
Despite the fact that the equipment used in the heavy engineering sector is designed to work in the harshest conditions, unexpected breakdowns still occur. And their regular maintenance is usually more costly than in other areas, compounded by the remoteness and ruggedness of the places where they work. In a competitive global marketplace, operators are required to improve the efficiency of their equipment.
Optimise your maintenance
with an AI-powered monitoring solution
Monitor production remotely
Cut repair and downtime costs
How to tackle unplanned downtime
and decrease repair costs
CHP Units often don’t have sufficient in-built monitoring solutions to indicate mechanical issues in advance. The trouble is that not all parts and service functions are available on-demand, which causes downtimes. Take a look at how Neuron soundware technology helps avoid critical failures.
The results were really positive.
“First, we deployed the solution to a fleet of CHP units. The results were really positive, so we are now thinking of long-term cooperation, which will benefit the whole group.”
Manager of Information Systems and Technologies Division, MVV Energie CZ
Ing. Jan Regner
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Neuron soundware technology is used in various applications across different industries using the AI
to process the sound from machines and deliver information saving production and maintenance costs.
For diagnosing machine condition we use machine learning algorithms and notify you in case of malfunctions.
Via monitoring sound of machines we help you increase your machine uptime and discover your capacity reserves.
The AI learns your machine standard behaviour patterns so we can recognize the initial signs of failure.
The unique combination of AI, ML and sound can be leverage for process optimization.
To protect entire machine parks, we focus on individual assets and components:
- Motors, pumps, gearboxes, fans, conveyors, compressors
- Blowers, driers, mills, heat exchangers, furnaces, rollers, processing machines, press machines, machine tools, cranes, material cutting, CHP, grinding machines,wind turbines, generators (energy industry)
Let’s start more capable
Uniqueness of NSW solution
World’s Top 5 AI
Deep machinery knowledge
All insights you need to see.
At one dashboard.
Red. Green. Orange. Three colours that will make your life easier.
Easy to understand visualizations as well as instant notifications will help you to better understand you machines. See how.
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.