Point Machine Monitoring

Traditional point machine monitoring is currently being reinvented to meet today’s stringent safety requirements and quality standards. The condition monitoring system is provided to streamline resources, prevent breakdowns, and improve reliability. It includes instant alarm reporting with artificial intelligence breakdown diagnosis and tools to improve maintenance plans.

Maintenance Based on Condition

Do not settle with diagnose tools, take advantage of the investment and switch to maintenance based on condition.

Combine our range of solutions

Non-intrusive Point Machine hardware is shared with other systems as for Track Circuit and Signals monitoring rationalizing the investment.

Multiple integration

Management systems as ERP's can be integrated allowing to provide automated calendars to streamline maintenance tasks. 

Standar solution for different providers

Install the same solution for different point machine types. It also allows to combine data from different assets as other signaling elements.

Why point machine monitoring?

The hardware is highly efficient, easy to install, and scalable. It can be adapted to different point machine models and it offers remote programming and configuring.

The interface presents data in a simple and intuitive way. It offers multiple utilities to design maintenance plans and to predict and diagnose the breakdowns.


Diagnosing breakdowns improve service and maintenance.

How do we help to diagnose breakdowns?



A good continuous monitoring system identifies breakdown patterns and send an alarm before the breakdown takes place and negatively affects the service. Approximately predictable breakdowns represent around 60 – 70%* of the annual breakdowns of non-monitored railway networks.

smart motors® AI detects real tendencies of breakdowns by the monitored parameters. They are immediately reported to the maintenance management system and then scheduled in the night maintenance plan. Serious breakdowns are avoided and the expense in spare parts and replacement of point machines is reduced.

*(Given the great diversity of point machine and network types, It is difficult to give a precise figure. This % has been calculated according our analyses of real netwoks.)


There are breakdowns with lack failure patterns. After the breakdown several questions arise:

Which is the nature of the breakdown?
Which spare parts or specialists will be needed?
When should I schedule the reparation? How long do I need?
Will I be able to avoid it to happen again?

With the smart motors® system it is possible to provide indications for corrective measures of non-predictable breakdowns in the 70-80%* of the cases. smart motors® provides a breakdown report in which the likely causes and recommended resolutions are indicated.

*(Given the great diversity of point machine and network types, It is difficult to give a precise figure. This % has been calculated according our analyses of real netwoks.)

Data gathered and analyzed

We have two different approaches to monitor Point Machines:

1. LITE version: monitored from the interlocking gathering only electrical parameters allowing to monitor:
- 24/7 current
- voltage
- RMS current
- control voltage
- wave form
- power
- reactive power
- operating time
2. FULL version: monitored from the inside of the Point Machine, gathering electrical, mechanical and environmental data.
Same electrical parameters as LITE version plus:
- Internal temperature
- Flood
- Vibrations inside the point machine 
- Train vibration 
- Control bar position 
- Draw bar position 
- Draw bar return
- Titling
  • Bullets are great
  • For spelling out benefits and
  • Turning visitors into leads.

Maintenance based on condition

Maintenance of point machines has been performed on the bases of standard maintenance plans which mainly determine the inspections frequency.

Sometimes, despite compliance with these specifications, errors continue appearing in point machines. 

Why shouldn’t maintenance calendars be standard? 

Unexpected things occur and plans need to frequently readapt. CBM planner considers preventive, predictive and corrective orders. More and more worldwide railway companies are joining SAVANA and switching from traditional maintenance plans to condition-based maintenance ones. Thanks to the monitoring system and the information gathered and analysed by SAVANA, maintenance intervals are optimized and unplanned downtime is minimized.


New maintenance calendars according to the real maintenance
needs of the assets and the availability of resources.



Maintenance interactive tool PM

New interactive tool that fulfill monitored data
by smart motors ® during maintenance tests.



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