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Watch a fault grow and see AI get ahead of the breakdown
Choose your industry, trigger a fault in a motor, a pump or a packaging line and speed up time. The AI detects it taking format, speed and shift into account, explains the diagnosis, estimates how many days are left and drafts the work order for your approval.
What you can try
AI predictive maintenance, from the signal to the work order
- Six machine types and a packaging line: motor with drive, pump, fan, compressor, gearbox and conveyor, with presets for eight industries.
- Faults that grow over time: bearings, imbalance, misalignment, looseness, gears, broken rotor bars, cavitation, lubrication and overheating, following the P-F curve.
- Detection with process context: compare a fixed threshold with a model that knows format, speed and shift, and watch false alarms disappear.
- Explained diagnosis and remaining useful life: the fault signature in the spectrum and envelope, the indicative ISO 20816-3 zone and an estimate with its confidence band.
- Work order drafted by the AI: cause, evidence with its source and parts, with safety values always taken from the manufacturer's manual, to approve, reject or modify.
Let's talk about your plant
Which machine stops most often?
Tell us where your line is losing time. We'll suggest where to start and how to measure the result.