Detect machine states,
before damage occurs.
MaschinenKontrolle develops systems for continuous condition monitoring of critical components in industrial machinery.
Specialized Software Development for Machine Monitoring
Standard software often reaches its limits with specialized production processes.
MaschinenKontrolle provides tailored solutions for continuous monitoring.
Unplanned Machine Downtime
Defective bearings or thermal overloads cause expensive outages.
Gradual defects without visual signs are particularly dangerous.
Early Detection
MaschinenKontrolle captures ultrasound, vibration, acoustic, and thermal changes.
Deviations are identified automatically before severe damage happens.
Multiple Parameters – Complete Picture of Machine Health
Combining sensor data for seamless early defect detection.
Ultrasound
Earliest detection of friction noise, leaks, and lubrication loss.
Vibration
Vibration analysis for pinpointing imbalance and mechanical flaws.
Acoustics
Detecting process anomalies and ambient noise.
Temperature
Thermal monitoring for overheating and overloads.
Early Warning
Visual and acoustic alerts prior to failure.
Comparison of Applications and Overlaps
| Sensor / Parameter | Main Purpose | Typical Examples | Redundancy / Overlap |
|---|---|---|---|
| Ultrasound | Detection of ultrasound friction and compressed air leaks. | • Air leaks • Early bearing failure • Electrical discharge |
Partial overlap with acoustics: Captures inaudible defects. |
| Vibration | Detection of structural imbalance and component wear. | • Rotor imbalance • Gearbox issues • Shaft misalignment |
Partial overlap with ultrasound: Measures low-frequency mechanical faults. |
| Acoustics | Monitoring ambient noise in the human audible spectrum. | • Process anomalies • Pump cavitation |
High overlap: Often detects late stages of damage. |
| Temperature | Thermal overload tracking from high friction. | • Bearing overheating • Motor overload |
Follow-up symptom: Temperature is the final stage of failure. |
Why is sensor redundancy intended?
In practice, machine failure follows a strict timeline (P-F curve):
- Stage 1 (Ultrasound): Micro-friction in ultrasound range.
- Stage 2 (Vibration): Mechanical vibration becomes measurable.
- Stage 3 (Acoustics): Audible noise occurs.
- Stage 4 (Temperature): Overheating right before breakdown.
Conclusion on Overlap:
- Yes, technically they overlap as all measure physics wave signals.
- No, it is not redundant: Ultrasound gives early alerts, temperature shows acute urgency.
From Machine to Digital Monitoring
The platform collects sensor data and analyzes trends to avoid failures.
Precision sensors stream real-time data to the cloud.
Secure APIs deliver values for visual dashboard analysis.
Monitoring Chain
Machine data collection
Secure communication
Storage and provision
Trends and health status
Early alerts for anomalies
Applications & Industries
Designed specifically for automated production lines.
Woodworking
Drilling, milling, and CNC units.
Furniture Industry
Manufacturing lines for furniture.
Plastics Industry
Extruders, molding & drives.
Engineering
Condition monitoring integration.
Live Dashboard Demo
Simulation of real-time sensor tracking.