Predix predictive maintenance based on statistical and diagnostic data

Smart maintenance with Predix is a modern approach to predictive maintenance that uses statistical methods and real operational data from SCADA systems to predict how the machine condition will develop and to detect risks early.

Get ahead of failures, reduce unplanned downtime and optimize maintenance based on the history and actual condition of your equipment.

From data to decisions. From prevention to prediction.

Diagnostic data

from the SCADA system

Statistical methods

Weibull analysis

Prediction period

flexible settings

Import

of historical data

Sample screens

Key features

  • Prediction based on the current condition of the equipment
  • Evaluation of diagnostic data from SCADA systems
  • Statistical methods (Weibull analysis)
  • Absolute and incremental measurement of values
  • Automatic/manual input
  • Import of historical data
  • Setting of warning and alarm limits
  • Choice of the prediction period
  • Elimination of unwanted values (including in bulk)
  • Simultaneous display of up to two signals
  • Clear table showing the status of all data points
  • Graphical and color-coded visualization of results
  • Connection to third-party systems

Early risk detection

Predict failures before they happen and prevent unplanned shutdowns.

Maintenance optimization

Plan maintenance according to the actual condition of your machines and reduce unnecessary interventions.

Higher equipment availability

Minimize downtime and maximize the performance of your production equipment.

Cost savings

Reduce the costs of repairs, parts and operation thanks to data and smart decisions.

Timely alerts

Set warning and alarm limits and get notified of risks in time whenever the defined limits are exceeded.

Clear visualizations

Intuitive charts, clear tables and color-coded status indicators.

System integration

A standalone system that can be connected to third-party software.

25 years of experience

The development of the maintenance management system at dataPartner began as early as 2001. In 2005, dataPartner became a corporate member of the Czech Maintenance Society (ČSPÚ), which significantly influenced the development of the system, and the resulting product incorporates the requirements of maintenance standards.

We cooperate with

Our customers

Thanks to our systems and solutions, we have gained the trust of major companies that rely on us to increase the efficiency and reliability of their operations. Join our satisfied customers.

MND
DGS
Taconova
Taconova Production

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Hunter Douglas Kadaň

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Daikin Industries Czech Republic

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