
Das Problem
What begins inside a valve often goes undetected for a long time, until performance, safety, and reliability are suddenly at risk. Hidden damage develops gradually and only becomes apparent once it becomes costly.
Leaks
Leaks in the seat, stem, or body cause pressure loss, energy waste, and potential safety hazards. Internal leaks often go unnoticed for a long time and significantly compromise process stability.
Functional disorders
Wear, corrosion, or faulty actuators can prevent valves from opening or closing reliably. This compromises control accuracy and can lead to unplanned downtime.
Flow damage
Cavitation and erosion attack components from the inside, damaging sealing surfaces and seating surfaces. This results in vibrations, a drop in performance, and a significantly reduced service life.
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


Position/Abstand
Durch die Messung von Position und Abständen lassen sich Unregelmäßigkeiten im Bewegungsablauf von Maschinen oder Anlagen frühzeitig erkennen. So werden Verschleiß, Justierbedarf oder drohende Störungen sichtbar.
Electricity
Pressure
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.
Flow rate
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.
Position/Abstand
Electricity
Pressure
Vibration
Flow rate
Detectable damage:
Stickiness, corrosion, deformation, friction, jamming, spindle failure, gear damage, overload, energy consumption, characteristic curve errors, seat wear, leakage, design flaws, narrowing, cavitation, flashing, flow separation, erosion, microdamage, process deviation, control errors, deposits.


Mit Predictive Maintenance sind Sie im Vorteil
Smart monitoring turns uncertainty into predictable action and turns malfunctions into manageable measures. This allows you to ensure availability, reduce risks, and maintain full control over your valves.
Detect leaks early
Sensors detect even the slightest changes in pressure, flow, or noise patterns before a leak becomes critical. This allows for targeted maintenance of seals and seating surfaces before safety risks or production losses occur.
Prevent malfunctions early on
Continuous monitoring of operating times, motion profiles, and drive forces makes gradual wear immediately apparent. Maintenance is performed proactively rather than reactively, and unplanned downtime is significantly reduced.
Flow damage
Cavitation and erosion attack components from the inside, damaging sealing surfaces and seating surfaces. This results in vibrations, a drop in performance, and a significantly reduced service life.
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