12 November 2015

Predictive Maintenance

predictivemaintenance-railway

Predictive maintenance means: using data to help predict when a machine part should be replaced. The more data that is collected the better the prediction about when maintenance should take place. With our 24/7 Business solution we offer companies clear insight at any time into log, event and machine data. We work with real-time data which means that comparisons are continually being made with historical data. This creates insight into exceptions and risk factors. By immediately tackling these exceptions, risks can be reduced or even prevented altogether.


Industry

A practical example: a company that manufactures equipment for bakery plants uses large expensive machinery. If one of these machines has problems and can no longer be used, it often takes a long time before parts or even for the entire machine to be replaced. Because of the delay costs start to mount quickly. 24/7 Business gives companies in-depth insight making it possible to predict when a part could break. This can then be anticipated in good time and limit any downtime to a minimum.

Railway

Anchormen is currently working on a suite developed specifically for the maintenance of railways to display and analyse temperature, pressure and voltage. Based on data obtained from existing or new, to-be-installed sensors, and by comparing it to the output state, the model detects deviations that provide an indication for when to plan maintenance or repairs. The detection of these kinds of deviations ensures that the equipment gets the appropriate maintenance at the right time.

Read and watch the case study of Strukton Rail: “Great reduction of point failures possible”


 

The benefits of Predictive Maintenance

Predictive maintenance is applicable to all kinds of industrial activities, and makes use of sensor data to predict when maintenance is needed. The combination of smart Monitoring and Advanced Analytics enables the improved planning of maintenance, and maintenance costs and machine downtime are reduced. In addition, there is an improved insight into the causes of breakdowns and as such fewer unexpected faults.

  • Reduced downtime of material and equipment
  • Fewer unexpected breakdowns and faults
  • Improved planning of the material and staff
  • Reduction of maintenance costs and quicker repairs
  • Longer life expectancy of material and equipment

Download our whitepaper about Predictive Maintenance

Interested?

Want to learn more about what Anchormen can offer you in the area of predictive maintenance? Please contact us.