Switch monitoring – positioning processes as an indicator of status and wear
The switching process of a switch is a dynamic process in which mechanical, electrical, and environmental influences interact. Even minor changes in switching behavior can provide indications of incipient wear, increasing resistance, or functional limitations.
These changes develop gradually over many switching cycles and often go undetected during interval-based inspections. As a result, malfunctions in the switching process occur unexpectedly and have a direct impact on operation and availability.
The switching process itself thus becomes a reliable basis for assessing the condition and wear of individual switches.
SERVICE PORTFOLIO
Switch monitoring with CMS.Rail
- Continuous evaluation of switch-relevant control variables such as control currents and control forces
- Analysis of switching behavior to derive switching resistance and friction conditions
- Separation of mechanical wear components from external influences for objective condition representation
- Prognosis of the next maintenance-relevant intervention based on daily updated condition data (service predictor)
- Clear instructions for action via a traffic light system for condition-based maintenance planning
- Automatic detection of maintenance measures carried out and evaluation of their effectiveness (service detector)
- Detection of short-term malfunctions in the switching process for immediate response during operation
The advantages at a glance
Evaluation of switch condition
from positioning processes
Condition-based planning of
switch-related maintenance
Early detection of wear
during the changeover process
Rapid identification
of short-term malfunctions
Please contact us personally
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Would you like to learn more about CMS.Rail? We would be happy to present the software to you in a personal appointment and answer your questions.
Nanostructure Technology (today's name: Quantum Engineering) at University of Würzburg
M. Sc.
Competence Network AI in SMEs "AI-HUB Northern Bavaria"
Real innovation requires not only knowledge, experience and creativity, but also a strong team and communication.
Because Wölfel is active across industries in the areas of expertise of vibrations, structural dynamics and acoustics, new challenges, customer requirements and knowledge transfers are constantly arising. This always opens up new use cases for the application of smart data-driven algorithms for us and our customers.
Nanostructure Technology (today's name: Quantum Engineering) at University of Würzburg
Competence Network AI in SMEs "AI-HUB Northern Bavaria"
Real innovation requires not only knowledge, experience and creativity, but also a strong team and communication.
Because Wölfel is active across industries in the areas of expertise of vibrations, structural dynamics and acoustics, new challenges, customer requirements and knowledge transfers are constantly arising. This always opens up new use cases for the application of smart data-driven algorithms for us and our customers.
Nanostructure Technology (today's name: Quantum Engineering) at University of Würzburg
M. Sc.
Competence Network AI in SMEs "AI-HUB Northern Bavaria"
Real innovation requires not only knowledge, experience and creativity, but also a strong team and communication.
Because Wölfel is active across industries in the areas of expertise of vibrations, structural dynamics and acoustics, new challenges, customer requirements and knowledge transfers are constantly arising. This always opens up new use cases for the application of smart data-driven algorithms for us and our customers.
Nanostructure Technology (today's name: Quantum Engineering) at University of Würzburg
Competence Network AI in SMEs "AI-HUB Northern Bavaria"
Real innovation requires not only knowledge, experience and creativity, but also a strong team and communication.
Because Wölfel is active across industries in the areas of expertise of vibrations, structural dynamics and acoustics, new challenges, customer requirements and knowledge transfers are constantly arising. This always opens up new use cases for the application of smart data-driven algorithms for us and our customers.