Vibration monitoring system
that catches faults early.
Pumps, motors, gearboxes, and bearings — every rotating asset vibrates. iGromi OS listens to those signals 24/7 and tells you when something is about to break, before production stops.
The problem
Your rotating equipment fails
without warning.
Route-based inspections
A technician walks the plant with a handheld analyzer once a month. A bearing can go from healthy to failure in 48 hours. You catch faults by luck, not by design.
Alarm-only thresholding
Your current system sets a single vibration threshold. Below that line, everything looks fine. But rising trends over weeks are the real warning — and threshold alarms miss them entirely.
No fault diagnosis
Vibration is spiking. Is it unbalance? Misalignment? A damaged bearing race? Different faults need different actions. Without diagnosis, every spike triggers the same generic response: schedule a shutdown.
The solution
Continuous condition monitoring
with automated fault diagnosis.
Full spectrum analysis
iGromi OS captures raw vibration waveforms and performs FFT analysis on the edge. Detect unbalance, misalignment, looseness, and bearing faults across all frequency bands simultaneously.
Trend-based alerting
Forget fixed thresholds. Our models track vibration trends over hours, days, and weeks. A gradual but consistent rise triggers an alert long before it crosses a dangerous amplitude.
Works with any IEPE sensor
Connect your existing accelerometers or install new ones. iGromi OS supports standard IEPE sensors for velocity and acceleration — no proprietary hardware lock-in.
Integrated with iGromi OS
1 · What your plant already has
- Vibration sensors on motors and pumps
- Equipment temperature
- PLC with running hours
2 · The iGromi node on site
- Reads sensor and PLC together
- Compares with the equipment’s baseline
- Processes on site
3 · What your team gets
- An alert when vibration rises
- A trend to decide when to intervene
- A record for your maintenance plan
Hear your machines
before they scream.
In 30 minutes we'll show you how iGromi OS monitors vibration on your critical assets — with automated fault diagnosis, trend alerts, and zero cloud dependency.
Book a diagnosticHow is this rolled out in a plant that is already running?
The same five questions come up in every meeting, whichever solution is on the table. The answers depend on how the system works, not on the module.
Do I have to replace my PLC or my SCADA?
No. The system connects to what is already installed and reads from it; it does not replace the control layer and does not write to it unless that is explicitly defined. If the PLC does not expose its parameters, the iGromi Bridge discovers them by trying combinations until it gets a response, and if the machine speaks no protocol at all it is read by a sensor on the electrical signal.
Does it work if the internet goes down?
Yes. Processing happens at the Edge, inside the plant, so capture, rules and inference keep running with the link down. What stops is remote access and outbound synchronisation, which resumes on its own when the connection returns.
Does my data leave the plant?
Not by default. Video and telemetry are processed on the customer's Edge device. What leaves, and where it goes, is defined when the system is configured. That is the same property that underpins compliance with Chile's Ley 21.719 and what makes this viable in mining and in food.
How long until the first data point?
It depends on how many machines there are and what they expose. A line with equipment that speaks Modbus is read in days; a line of silent machines needs sensors installed and panel shutdowns coordinated, and that is set by the plant's maintenance calendar, not by us. The usual sequence is assessment, pilot, expansion.
What happens to what we already measure by hand?
It runs alongside during commissioning. For the first weeks the manual record keeps going in parallel as a validation counterpart: it is how you find out whether the automatic figure beats the handwritten one, and the habit is dropped on its own once that is demonstrated.
Related solutions
Predictive maintenance
Local AI detects bearing, motor and pump faults before production stops.
Machine condition monitoring
Industrial CMMS
Sensor-triggered work orders without manual paperwork.