Every machine gives warnings before it fails: a bearing that starts to vibrate, a motor running warmer, a pressure that drifts. People rarely notice them in time. Predictive maintenance puts sensors on the machines that matter and flags the early signs, so repairs happen on your schedule instead of in the middle of a busy shift. Here is how it works, who already relies on it, and how to start.
The 30-second version
- Predictive maintenance uses sensor data to spot the early signs of a fault.
- Repairs are planned instead of forced by a breakdown.
- Sensors can be retrofitted to existing machines.
- Aviation, rail and manufacturing have relied on it for years.
- We connect sensors over mobile, separate from your production network.
On this page
What is predictive maintenance?
There are three broad approaches to maintenance. Reactive maintenance fixes things when they break. Preventive maintenance services them on a fixed schedule, whether they need it or not. Predictive maintenance watches the machine itself and acts when the data shows something changing.
Sensors measure vibration, temperature, pressure, flow or power draw. A platform learns what normal looks like for each machine and raises an alert when readings move outside that pattern.
Why it is useful
- Less unplanned downtime. Faults are caught before they stop production.
- Lower repair costs. Wear fixed early does less damage.
- Better planning. Parts are ordered before they are urgent.
- Fewer unnecessary services. Machines are serviced when they need it.
- Longer equipment life. Machines run within their limits for longer.
Who is already using it
Aviation has used it for years. Rolls-Royce, for example, monitors the health of its aircraft engines using data sent from the engines themselves, as part of its long-term engine care service. On the railways, Network Rail uses remote condition monitoring on equipment such as points to spot faults before they cause delays.
The same approach is now common in manufacturing, food production, water and utilities, and among lift and building services engineers, and it scales down well to a single critical machine on a factory floor.
What to watch out for
- Starting too big. Begin with the one or two machines you can least afford to lose.
- Alert fatigue. Thresholds set too tight produce alarms nobody reads.
- Production networks. Opening control networks to the internet adds risk. A separate mobile connection avoids it.
- Old connections. UK networks have switched off 3G, and 2G is due to follow by 2033. Older monitoring equipment should be checked.
How Synergy Max can help
We help specify sensors and platforms, connect them over mobile so nothing touches your production network, and support them afterwards alongside your maintenance team.
- IoT SIM cards, including multi-network SIMs that use whichever UK network is strongest
- Pooled data across every device on one account, with one simple bill
- Monitoring, so a device that goes quiet is noticed and chased
- Private, managed access, so devices are not sitting on the open internet
Find out more on our Predictive maintenance page, or see everything we connect on our IoT SIMs page.
Which machine can you least afford to lose?
Tell us about your equipment and we will recommend where monitoring would pay back first.