Digital monitoring for rotating equipment

Which machines & faults are suitable for monitoring?

Examples of rotating machinery

Centrifugal pumps & positive displacement pumps

Fans & motors

Turbines & compressors

Typical faults

Imbalances & alignment Errors

Coupling damage & belt faults

Bearing wear & set-up problems

Machines send warning signals before they fail. You just have to recognize them.

Our white paper reveals the most common machine faults — and which parameters to monitor to prevent unplanned downtime.

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PDF Vorschau zu Maschinentypen und Fehlerarten

This makes error monitoring by aiomatic precise & efficient

Flexibly adjustable monitoring sensitivity

Depending on how you set the threshold and tolerance time for anomalies, critical patterns can be identified up to 4 weeks in advance.

Consideration of product recipe & context

When monitoring, our software takes actual operating conditions, such as product recipes, into account.

Based on real operation rather than predefined limits

Our software learns from the normal operating state of your machines instead of from labelled data and fixed standards.

Individually configurable notifications

You will receive automated notifications as soon as one of your machines behaves significantly unexpectedly.

All KPIs & anomalies on one dashboard

Anomaly summary & detailed root cause analysis

Digital shopfloor with all machine positions & KPIs

Flexible sensor groupings for targeted analysis

Digital logbook for machine events

Start dashboard tour

Use Case Hansaport

Monitoring of conveyor belts

Initial situation:

Conveyor belts depend on drive, transmission and clutch.
Failure makes the entire conveyor belt unusable.
Repairing needs to be done quickly to minimize downtime.
Currently often used until total failure.
Goal: smart maintenance.

Automatic monitoring through our software

First step: retrofitting sensors to conveyor belts with a length of more than 800 meters
AI learns various operating states & detects deviations
Major fault was detected at an early stage & failure could be prevented
Improved overview of extensive systems — fewer manual inspections required.

Attractive package price — no hidden costs

Take advantage of our all-round package and benefit from digital monitoring of your machines.

Up to 5 machines

80€

per machine & month+ €2,499 set-up

Access to the dashboard unlimited users

Model training

Expert Support

Use of sensors over the entire contract period

Using cloud infrastructure

Constantly new product features

Up to 10 machines

60€

per machine & month+ €2,999 set-up

Access to the dashboard unlimited users

Model training

Expert Support

Use of sensors over the entire contract period

Using cloud infrastructure

Constantly new product features

Optional service: Monitoring service by KSB analyst, 120€ per sensor.
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*For more than 10 machines, we are happy to prepare a tailor-made offer.

Send a request

That's how it works

Sensors are installed on your rotating machines — quickly and easily.

Your data is securely transferred and visualized on the dashboard.

Temperature and vibration analysis: Our AI models detect errors at an early stage and send warning messages.

Continuous optimization of models for ever more precise monitoring.

After service (optional): telephone advice to determine the exact machine fault

Successful customer examples from industry

Large machine plant in the energy sector

Gas storage & compressor

Monitoring of the entire system, in particular the fast-rotating, sensitive turbines.

Illustration of a complex coating system

Inline coating machine

Monitoring of the pumps required for the water cycle in the coating plant.

Section of a machine for processing animal feed

Milling machines for animal feed

Monitoring of storage temperatures and drive performance for reliable & efficient production.

Conveyor belts in
Port Authority

Continuous monitoring of motors, gearboxes and bearing blocks to prevent bearing damage and belt ruptures at an early stage.

Gearmotors in bicycle production

Condition monitoring of drives and gears to avoid downtimes in conveyor technology and production interruptions.

Crunchy plant in food production

Monitoring of agitators, mixers and conveyors to ensure product quality and continuous production

Discover customer stories

"Thanks to the early warning from aiomatic, we were able to detect a gearbox failure in time. As a result, we were able to maintain operations over the weekend with reduced output and prepare for the necessary repair, instead of being surprised by a sudden imminent failure."

Ben Thurnwald

Managing Director

"The future of maintenance is difficult when it comes to skilled labor. With the AI-based solution from aiomatic, however, this looks much brighter. The team can now focus on other activities, while monitoring and early warning alerts are provided by aiomatic."

Andreas Weber

Technical maintenance manager

“aiomatic is pioneering. For example, the application of AI to real-time data has already predicted imminent warehouse damage for one of our systems. As a result, we were able to act early and avoid an unplanned downtime of more than 8 hours. ”

Dirk Schlamann

Lead Maintenance

"The set-up with aiomatic was surprisingly straightforward. The seamless integration into existing workflows and the intuitive operation of the dashboard make the solution a real success that quickly delivers added value for our team."

Ben Thurnwald

Managing Director

“The aiomatic solution offers a fast and reliable way to achieve a zero-defect goal in the area of predictive maintenance compared to traditional methods.”

Christian Bittel

In-house consultant

PDF preview of machine types and error types

How do companies benefit from predictive maintenance?

Using specific customer examples, our use case portfolio shows you how predictive maintenance makes the industry more successful, efficient and future-proof.

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