Our product package Retrofit is the right choice if you...
Want to easily retrofit rotating machines with sensors
Want to monitor the temperature & vibration of your machines in real time
Need to avoid machine failures & save maintenance costs
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
How to identify machine faults at an early stage
Machine faults often go unnoticed for a long time — until it is too late. Engines, transmissions and bearings are particularly affected. Typical damage can be identified early on in operating and sensor data — if you know which parameters are decisive during monitoring.
Conveyor belt: Common types of faults
Belt wear due to abrasion or aging
Bearing damage on rollers or pulleys (lead blockage or squeak)
Drive defect (transmission damage or motor overload due to traffic jams)
Material jam and jamming of conveyed goods
Conveyor belt: Monitorable parameters
Vibration sensors on the gearbox bearing (early detection of bearing defects)
Temperature sensors on engine and gearbox (overheating)
Speed and torque
Current monitoring on the drive motor (blockage/overload detection)
Centrifugal pump: Common types of faults
Leaking mechanical seal
Roller bearing wear or failure (e.g. as a result of vibrations)
Impeller imbalance or shaft misalignment
Cavitation under unfavorable operating conditions
Centrifugal pump: Monitorable parameters
Vibration sensors on the bearing housing (e.g. monitoring of imbalance,)
Temperature sensors on motor and bearings (early detection of overheating)
Flow sensors (flow rate monitoring)
Current measurement of drive motor
Agitator: Common types of faults
Bearing exhaustion and transmission damage
Gearwheels can be damaged due to overload or material fatigue
Seal defects: Worn mechanical seals
Drive overheating: high mixing viscosities or blockages
Agitator: Monitorable parameters
Vibration monitoring at bearings and gearbox
Temperature sensors on motor and bearing/gearbox (display of overheating)
Motor torque or power consumption
Speed sensors for monitoring the target actual speed
Get insights into other machine types & typical faults
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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
"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
aiomatic is already monitoring > 1,000 machines
Numerous customers benefit from AI-supported monitoring
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