Machine healthSingapore
Know when a critical machine starts to behave differently.
A pilot puts a few sensing points on the motors, pumps and fans you already run, for ten to thirty days. You receive one page per machine: how it behaves, the reference pattern it was measured against, and any change that deserves a closer look.
An amber notice before the red alarm.
Your plant already has the red alarm: the trip, the stop, the call at night. What is missing is the notice that a machine has started to behave differently from its own normal, while a planned repair is still possible. That notice is what Robometic is built to give you.
Pump CWP-2, drive endIllustrative
1.4mm/s RMS
Within learned normal. Day 6 of 14.
Day 11, 03:40Illustrative
Review suggested. The plant alarm level was not reached. Your team decides what it means.
- Limited visibility
- On many of the machines that matter to the line, what is known comes from a route reading every few weeks, a technician's ear and the alarm when it trips. Robometic adds visibility on the machines that have the least.
- Unplanned stops
- A failed pump stops the line, pulls people off planned work and forces a repair at short notice, which costs more than a planned one.
- Between readings
- A machine can change between two route readings, and the next reading may come after the trip. Robometic complements the readings you already take with a watch on the days in between.
Three ways to know what a machine is doing.
A Machine Health Snapshot is the usual first step: how each machine behaves, and what changed. Machine Health Watch keeps selected critical machines in view. Performance Verification shows whether a repair or upgrade changed anything. Where you start depends on the machine, the problem and the monitoring you already have.

Start here
Machine Health Snapshot
How is this machine behaving, and is it changing? Ten to thirty days of observation on up to five machines. One page per machine: where it stands, what changed, where to look first.

Ongoing
Machine Health Watch
Sensing points stay on the machines that matter most. When one leaves its learned pattern, your named contact receives an amber notice with the evidence, reviewed before it is sent.

After a repair or upgrade
Performance Verification
You paid for the repair. Did the machine actually get better? Same points, same period, same operating states before and after the work. Evidence for the next maintenance, capital or supplier decision.
In development: Intelligent Inspection Rounds, a denser portable inspection of one troublesome machine. Read about it on the concepts page.
The scope, in plain numbers.
1page
Per machine, written in mm/s RMS, the unit on your contractor's severity chart.
10 to 30days
On site. The length is set at the site walk so every operating state is seen. Sensing points fitted and removed by Robometic.
5machines at most
To start. Motors, pumps, fans, blowers, compressors, gearbox-driven conveyors.
0connections
To your control system. How readings leave the machine is agreed at the site walk, not assumed.
How an amber notice is earned.
Learn what normal looks like for one specific machine. Watch for departures from it. Bring those departures to the people who know the machine, with the evidence attached.
Learn normal
Observe the machine's vibration, with sound where it helps, for a defined period and record its usual pattern across its operating states. Which points, and how many, is decided at the site walk.
Notice change
Compare what the machine does now with what it usually did. Not a generic model of all machines: this machine, in this plant.
Raise an amber
When behaviour moves outside the learned pattern, the change is flagged with what triggered it. The aim is a notice before the trip. Not a diagnosis.
Review and decide
Your maintenance team checks the machine, records what was found, and the decision is kept with the evidence.
Interactive demo
Follow one pump for two minutes.
A normal week, a change, an amber notice, a maintenance review. You choose what the team finds and read the report the example produces. Simulated values, clearly labelled.
Sample report
Read the page you would receive.
Fictional pump CWP-2. A rising trend at the drive end, an amber notice on day 11, a bearing greased on day 12, and what remained open. One page, in your units, with a behaviour timeline and the team's own labels on every notice.
- At a glance
- Where the machine stands, what changed, what the team found, the next decision
- Timeline
- Learned normal, the rise, each amber notice and the maintenance action, on one chart
- Detail
- Equipment and period, observations, maintenance review with the team's labels
- Open
- What remains unexplained, and the suggested next steps

Machine Intelligence Pilot Programme, Singapore
Bring us the machine you worry about most.
We are inviting selected Singapore manufacturers and engineering partners to put a focused machine-health application on existing equipment. Together we choose the machine, define the operational problem and agree what a valuable result looks like. Each engagement has a clear technical scope, commercial terms and a defined outcome.
I run or maintain a plant
Discuss a machine or a production reliability problem on your floor. One troublesome pump is a good place to start.
Explore a pilotI service or supply the machines
Maintenance contractors, systems integrators and OEMs: joint diagnostics, customer pilots or verification of the work you deliver.
Discuss a collaborationI work in technology or research
Technical validation, implementation or commercial collaboration. Research and industry bodies included.
Discuss a collaborationEngineering experience. Practical intelligence. Measurable results.
Robometic brings together experience in industrial sensing, engineering and applied AI to build a more practical approach to equipment reliability. The focus is straightforward: understand how machines behave, identify the changes worth investigating, and give maintenance teams evidence they can act on.
- Industrial sensing
- Measurement on the machines a plant already runs, in the units and language its maintenance team already uses.
- Applied AI
- Methods that learn one machine's own pattern and show the evidence when it changes. Built to be checked by people.
- Operating decisions
- Research into how operating people decide under uncertainty, so a notice arrives with what the team needs in order to act on it.
- Every engagement
- A defined scope, success criteria agreed in writing, and a practical recommendation on what to do next.