
Das Problem
What develops unnoticed often comes to an abrupt halt. Creeping damage to windings, bearings, or alignment often goes unnoticed for a long time, until it poses a serious threat to production, deadlines, and budgets.
Winding damage
Insulation problems caused by heat, moisture, or voltage spikes often lead to short circuits and unexpected failures. This results in costly downtime and high repair costs.
Bearing damage
Lack of lubrication, contamination, or overloading can cause bearings to wear out prematurely. Increased vibration and temperature often lead to serious consequential damage.
Imbalance & Misalignment
Even minor deviations in the powertrain can cause significant mechanical stress. This reduces the engine's service life and jeopardizes the entire system.
Die moderne Lösung
Maintenance is evolving. Instead of relying solely on noise, visual inspections, or fixed maintenance intervals, modern algorithms and artificial intelligence enable a new approach: predictive maintenance.
TODAY: Fixed-schedule maintenance, reactive repairs
Maintenance is performed at fixed intervals or only after it is already too late. Decisions are based on experience and visual inspection, and therefore carry a high risk of unplanned downtime or production defects.Wartung erfolgt nach festen Intervallen oder erst, wenn es bereits zu spät ist. Entscheidungen basieren auf Erfahrung und Sichtprüfung und bergen somit ein hohes Risiko für ungeplante Ausfälle oder Produktionsfehler.
⛔ Waste of resources
⛔ Unplanned outages
⛔ Manual inspection provides little information

TOMORROW: Predictive Maintenance
Machines notify operators by themselves when they need attention. Sensors, data analysis, and AI make maintenance predictable, efficient, and virtually failure-free, setting the new standard in industrial maintenance.
✅ Maintenance only when necessary
✅ Repair before failure
✅ Seamless inspection using sensors and AI


Vibration
Vibration measurements reveal irregularities at an early stage and provide the AI with the perfect basis for an in-depth analysis of various causes of faults.
Temperature
Temperature measurements make irregularities such as overheating, increasing friction or overloads visible at an early stage and provide the AI a suitable basis for a comprehensive analysis.
Electricity
RPM
Torque
Continuous monitoring
High-resolution data

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Deep insights
Plannable maintenance

Gauge chart
A gauge chart clearly displays machine statuses and makes deviations from target values immediately visible. In predictive maintenance, it is used to clearly mark critical areas so that necessary interventions can be planned in advance in a timely and targeted manner.

Time series chart
A time series chart displays measured values in chronological order and forms the basis for a well-founded trend analysis. In predictive maintenance, this makes changes in machine behavior that indicate wear, irregularities or potential faults visible.
Real time overview
Reliable basis for decisions

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We collect and combine extensive operational and condition data to provide comprehensive condition monitoring. We also integrate our maintenance solution into your system on a customized basis.
Vibration
Temperature
Electricity
RPM
Torque
Detectable damage:
Bearing damage, imbalance, misalignment, loosening, gearbox damage, coupling problems, resonance, overload, lubrication problems, cooling problems, insulation aging, phase imbalance, rotor bar breakage, blockages, loss of efficiency, load jumps and instabilities, slip, control problems, torsional vibrations, belt slip, sluggish operation


Mit Predictive Maintenance sind Sie im Vorteil
When data is transformed into clear insights, the fear of downtime disappears. Predictive maintenance turns uncertainty into predictability and protects your motors before problems even arise.
Detect winding damage early
By continuously monitoring temperature, electrical signals, and insulation condition, the AI detects even the slightest deviations in motor behavior. Critical issues become apparent before a short circuit or total failure occurs.
Prevent bearing damage
Vibration and temperature data provide early warning signs of incipient bearing wear. Maintenance can be planned proactively rather than having to react to unplanned downtime.
Keep a constant eye on imbalance and misalignment
Sensors continuously monitor vibrations and mechanical anomalies in the powertrain. Any changes are automatically analyzed, allowing mechanical issues to be resolved before they cause further damage.
Getting started with predictive maintenance often raises many questions. What should be monitored, which technologies make sense, and is it even worth the effort? Our workshop will help you answer these very questions and find a clear direction for your project.

Let’s work together to design the best predictive maintenance solution for you.
To the workshop