PDM

Prevent machine failures with explitia.PDM

Machine learning predictive maintenance for stable production

Monitor machine condition, detect early warning signals and plan maintenance before breakdowns disrupt production.

What is explitia.PDM?

explitia.PDM is machine learning predictive maintenance software that analyses real-time machine data, detects anomalies and supports maintenance planning before failures occur.

Real-time condition monitoring

Continuously monitor machines and production lines.

Anomaly detection

Identify deviations before they lead to failures.

Component wear analysis

Detect parts that may require service or replacement.

Maintenance prediction

Estimate the right time for planned intervention.

The effects of predictive maintenance

Improve machine reliability with technical data, early warnings and production context.

Benefits for your production plant
Monitor machine condition continuously.
Detect anomalies at an early stage.
Estimate the remaining useful life of components.
Reduce the risk of unplanned downtime.
Connect technical data with production results.
Shift from reactive maintenance to data-based decisions.

React before a small disruption becomes a production loss

Fewer unexpected failures

Detect risks before production stops.

Lower maintenance costs

Replace components based on their actual condition.

Higher equipment reliability

Gain continuous visibility into machine health.

Better production planning

Plan maintenance windows with greater confidence.

How does explitia.PDM work?

1. Machine data collection

The system collects operational data from PLC controllers, IoT sensors, SCADA systems, MES platforms and sensors measuring vibration, temperature, pressure or energy use.

2. Machine learning analysis

Machine learning models learn typical equipment behaviour, detect deviations and identify patterns that may precede failures.

3. Early warning alerts

When abnormal behaviour is detected, the system indicates the machine at risk, the type of anomaly and its urgency.

4. Maintenance planning

Maintenance teams can plan interventions during scheduled downtime instead of reacting to emergency breakdowns.

Look at our implementation process

What does explitia.PDM include?

Machine condition monitoring

Industrial data collection

Machine learning analysis

Alerts and notifications

Component life analysis

Predictive reports

Machine condition monitoring

Real-time machine data
Production line monitoring
Continuous condition analysis

Discover other modules of the Production Portal

Integrations

PLC controllers

IoT sensors

SCADA systems

MES platforms

OEE monitoring

CMMS systems

Traceability systems

These connections help analyse how technical condition affects equipment availability, efficiency, output, product quality and costs.

Industry

Learn how a PDM works

Learn how a PDM system works

Scale
1 plant, 6 production lines

Reduced unplanned failures by up to 80%
Plan pump replacement outside production time
Transfer anomaly alerts directly to CMMS

up to €72,000

Annual savings

up to 80%

Fewer unplanned failures

50 ms

Vibration data frequency

Elements of explitia.PDM

Data Collection

Collects real-time data from machines, controllers and industrial sensors.

Cyber Resilience Act and MES, SCADA, and Industrial Machinery: Where Should You Start Your Assessment? (Photo of a manufacturing employee reviewing visualizations)

Condition Monitoring

Provides continuous visibility into machine and component health.

Anomaly Detection

Identifies deviations from standard operating conditions.

Failure Prediction

Recognises patterns that may indicate an upcoming failure.

Maintenance Alerts

Provides information about detected risks and their urgency.

Predictive Analytics

Analyses equipment life, wear trends and historical alarms.

Production Context

Connects technical condition with availability, performance, quality and costs.

FAQ: Machine Learning Predictive Maintenance

What is machine learning predictive maintenance?

How is predictive maintenance different from scheduled maintenance?

What data can explitia.PDM collect?

How does explitia.PDM detect anomalies?

What information do predictive alerts provide?

Can the system estimate component life?

See more questions

Improve machine reliability

Detect risks early and plan maintenance with real machine data.

Continuous monitoring

Track machine condition.

Early warnings

Detect anomalies sooner.

Planned maintenance

Schedule service confidently.

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PDM

Prevent machine failures with explitia.PDM

What is explitia.PDM?

The effects of predictive maintenance

Fewer unexpected failures

Lower maintenance costs

Higher equipment reliability

Better production planning

How does explitia.PDM work?

What does explitia.PDM include?

Machine condition monitoring

Industrial data collection

Machine learning analysis

Alerts and notifications

Component life analysis

Predictive reports

Integrations

Industry

Elements of explitia.PDM

FAQ: Machine Learning Predictive Maintenance

Improve machine reliability

Need a different solution?

Need a different solution?

Need a different solution?