
Das Problem
What goes largely unnoticed during normal operation can become a problem at a critical moment. Creeping imbalances, hidden bearing wear, and invisible material damage develop unnoticed until performance, efficiency, and availability are suddenly at risk.
Increasing bearing and shaft problems
Continuous loads, dust, temperature fluctuations, and misalignment lead to gradual wear on bearings or shafts. Inadequate lubrication or overheating also compromise operational safety, usually without any audible warning.
Imbalances & aerodynamic changes
Dirty or damaged rotor blades alter the airflow. The result: increased vibrations, reduced efficiency, and higher mechanical stress.
Electrical & thermal overload
Clogged filters, blocked airways, or shifted load points drive up power consumption and engine temperature, often long before the engine shuts down.
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
Airflow
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
Airflow
Detectable damage:
Imbalance, bearing damage, loosening, misalignment, belt damage, resonance, lubrication problems, overload, blockages, phase errors, rotor faults, contamination, slippage, control errors, filter clogging, flow errors, power loss, leakage, inefficiency


Mit Predictive Maintenance sind Sie im Vorteil
Early detection prevents disruptions at airports, terminals, and security checkpoints. Smart sensors and AI turn critical changes into actionable measures.
Detect imbalance early
Through continuous vibration monitoring, sensors detect even the slightest changes in running behavior. AI-powered analyses identify imbalances early on, before vibrations cause damage to bearings or structural components.
Prevent bearing damage
Temperatur-, Vibrations- und Zustandsdaten machen beginnenden Lagerverschleiß sichtbar, lange bevor ein Ausfall droht. So können Wartungen gezielt geplant und ungeplante Stillstände vermieden werden.
Increase security and transparency
Changes in operational behavior serve as early warning signs of erosion, deposits, or corrosion. Our solutions provide you with clear recommendations for action before efficiency losses or damage occur.
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