A machine gives no warning before it fails. One day the motor sounds fine, the next day it is a burnt bearing and a two-shift stoppage. Buying a whole new monitoring system to fix this feels like overkill for a twenty-machine shop floor, and usually it is.
What predictive maintenance actually needs
- Something reading the machine: run hours, motor load, faults, straight from the controller it already has.
- A pattern learnt from that one machine's normal rhythm, not a generic number for the whole industry.
- A warning early enough that a technician can carry the right spare with him, not a breakdown alarm after the fact.
None of this needs a new machine on the floor. It needs a small box connected to the control panel, reading data the controller is already producing every second.
Signs your shop floor needs this
- The same kind of failure — bearing, belt, seal — keeps recurring on the same machine.
- A breakdown costs more in lost shifts than the part itself is worth.
- Your best technician "just knows" when a machine sounds off, and that knowledge lives only in his head.
What it costs you in effort
Expect two to three weeks of watching a machine before the system learns its normal pattern well enough to flag a drift. After that, alerts come by WhatsApp or email, not a new screen someone has to remember to check. Fitting it does not need a production stoppage, since it reads signals the controller already has, not new sensors on a running line.
Questions to ask any vendor
- Does it read the controller you already have, or does it need new sensors and wiring?
- Does it learn each machine's own normal, or use one threshold for every machine of that type?
- What happens when it is wrong — does a false alert cost you a shift for nothing?
- Can it run without sending your machine data outside the factory?
How we can help
Our machine health model, Thudippu, watches a machine's motor load and run hours, learns its own normal rhythm, and warns when something starts to drift — before it becomes a breakdown. It is one of several ways we put AI to work on a factory floor, alongside camera-based quality checks and an answers tool for technicians built from your own manuals. See what is possible on our industry page, or read how we build these models on our AI page. Tell us about your machines and we will show you what it would have caught last month.
