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More than just listening: Digital insight for your engines.

Damage and wear to electric motors usually go unnoticed. Windings are exposed to thermal stress, while imbalances and misalignments compromise safe operation. Early diagnosis using AI prevents impending failures.

Das Problem

The hidden risks of engine operation

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

The Shift: From Reactive to Predictive

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

Deep Dive: Hardware & Sensors

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

Deep Dive: AI analysis

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Deep insights

Plannable maintenance

Dashboard: Everything at a glance

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

Solution management with WorldWideThings

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Our Solution

We listen to, monitor, and understand your engine.

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.

Possible sensors

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

Control, instead of stoppage

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.

Find the right solution with our workshop

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.

Machine & Plant Workshop

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

To the workshop

Download additional information as a PDF

Download Fact Sheet