Maintenance 4.0, data-based maintenance

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.

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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

Monitor from anywhere, even with limited staff. Increase operational efficiency and optimise the production process.

Cut repair and downtime costs

Anticipation of unplanned outages of key production facilities. Scheduled maintenance based on knowledge of the condition of the equipment.

Increase safety

ATEX – certified solution for demanding conditions brings more reliable production. Elimination of situations threatening human safety and the environment.

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

Read more about predictive maintenance use cases
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Applications

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.

Condition
Monitoring

For diagnosing machine condition we use machine learning algorithms and notify you in case of malfunctions.

More on CM

Uptime
Monitoring

Via monitoring sound of machines we help you increase your machine uptime and discover your capacity reserves.

More on UM

Predictive
Maintenance

The AI learns your machine standard behaviour patterns so we can recognize the initial signs of failure.

More on PdM

Process
Monitoring

The unique combination of AI, ML and sound can be leverage for process optimization.

More on PrM

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
production together!

Uniqueness of NSW solution

World’s Top 5 AI

Sound detection + AI = powerful technology for predicting upcoming failures. We proved that. Globally.

Deep machinery knowledge

AI combined with traditional mechanical knowledge combines to make a powerful tool to detect anomalies earlier than any human ear.

Experienced team

35 types of machines, 8 industries, 3 continents, 6 years of global experience

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.

Component-level diagnostics
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.

Resources

Blog

Read blog posts.
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Case Studies

Read case studies.
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Media

Read media articles.
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Neuron Soundware
Our Office
NeuronSW SE
The Forge Technology Park
Branická 26/43,
147 00 Praha 4-Braník,
Czech Republic

ID: 07967373
VAT-ID: CZ07967373
sales@neuronsw.com
+420 731 104 613
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