Drive systems

Das Problem

Hidden Risks in the Drive System

A single malfunction can throw production, deadlines, and budgets into disarray. What starts as a minor issue often ends up causing costly downtime and unnecessary stress for the entire team if not addressed through targeted maintenance.

Bearing damage

Wear on bearings and gearboxes is one of the most common causes of failure in industrial drives. Insufficient lubrication, contamination, or overloading can lead to vibrations, increased temperatures, and unplanned downtime.

Electrical malfunctions

Insulation problems, winding damage, or voltage spikes often cause gradual, hard-to-detect failures. Without early diagnosis, there is a risk of costly total losses.

Misalignment

Misaligned couplings and stressed components generate additional forces in the system. The result: increased wear, higher energy consumption, and a shorter service life.

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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Mit Predictive Maintenance sind Sie im Vorteil

Risks become predictability

What used to lead to unexpected downtime can now be identified early on and managed effectively. With intelligent sensors and AI, uncertainty gives way to a predictive maintenance strategy that prioritizes safety, efficiency, and control.

Detect bearing damage early

By continuously monitoring vibration and temperature, the system detects incipient bearing and gearbox wear long before a failure occurs. Maintenance can be scheduled rather than reactive, and unplanned downtime is significantly reduced.

Prevent electrical failures proactively

Sensors and AI analyze electrical parameters, insulation conditions, and load profiles in real time. Critical changes are detected early on, allowing damage to windings or insulation to be identified and repaired before it leads to a total failure.

Continuously monitor misalignment

By analyzing vibration patterns and operating data, the system reliably detects misalignments and mechanical stress. Corrections can be made in a timely manner, reducing energy losses and extending the service life of the components.

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 ⬇

More than just listening: The digital sense for your drive.