
Das Problem
What begins unnoticed inside the pump often gradually develops into a serious threat to your production. Hidden wear, minor deviations, and small malfunctions can cause unplanned downtime and high follow-up costs before they even become apparent.
Leaky seals
Leaks caused by worn or improperly operated seals are among the most common causes of pump failure. They lead to unplanned downtime, increased maintenance costs, and potential safety risks.
Bearing damage
Inadequate lubrication, misalignment, or vibrations can severely damage bearings. This leads to rising temperatures, increased wear, and, in the worst case, complete pump failure.
Cavitation
If the inlet pressure falls below the required levels, steam bubbles form, causing damage to the equipment. The result: a drop in performance, excessive noise, and a significantly shortened service life of the pump.
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.
Pressure
Flow rate
Airflow
Humidity
Continuous monitoring
High-resolution data

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
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

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
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
Pressure
Flow rate
Airflow
Humidity
Detectable damage:
Bearing damage, imbalance, misalignment, loosening, coupling failure, cavitation, lubrication problems, overload, cooling failure, clogging, impeller wear, leakage, performance curve deviation, dry running, NPSH issues, power loss, valve failure, energy loss, blockage, rotor failure, seal wear


Mit Predictive Maintenance sind Sie im Vorteil
What used to cause unplanned downtime is now identified early on and managed proactively. This gives you greater planning certainty, reduces stress on the maintenance team, and turns maintenance into a strategic success factor.
Detect leaks early
By continuously monitoring vibrations, temperature, and operating conditions, the system detects seal wear before visible leaks occur. Maintenance can be planned proactively rather than having to react to sudden malfunctions.
Predict bearing damage
Sensors detect even the slightest changes in vibration patterns and bearing condition. AI-powered analyses identify early signs of wear, enabling scheduled bearing replacement without unplanned downtime.
Prevent cavitation before it happens
Any deviations in operating behavior, pressure trends, or acoustic patterns are detected immediately. This allows critical operating conditions to be corrected early on, before cavitation leads to significant material damage and a loss of performance.
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