Maintenance Control (ECM) – Using structured condition information for maintenance decisions
The ECM (Entity in Charge of Maintenance) is responsible for the safe, compliant, and cost-effective maintenance of rail vehicles. This responsibility includes the planning, prioritization, and documentation of maintenance measures throughout the entire life cycle of vehicles.
This is based on reliable and consistent information about the technical condition of the vehicles and selected components. Effective maintenance management does not depend on individual measurements, but rather on the structured consolidation of relevant indicators over time.
A consolidated condition database enables the ECM to make transparent maintenance decisions and systematically align maintenance strategies with the actual condition of the vehicles.
Service Portfolio
ECM 2 (developed maintenance concept):
- Automated provision of relevant information as a basis for end-to-end workflow optimization
- (Partial) automation of downstream processes based on consistent, automatically available information
- Logistical optimization by avoiding unplanned maintenance
- Reduced personnel costs by eliminating manual monitoring processes
- Improved system availability through continuous monitoring
- Automated generation of reports
- Consistent, automated maintenance of a digital “medical record”
- Contribution to increasing profit margins for maintenance contracts and Train-as-a-Service (TaaS) models
ECM 3 (controls maintenance):
- Independence from manual reports to increase operational reliability
- Provision of precise status information with detailed error messages (e.g., polygonization)
- Efficient use of existing maintenance capacities through condition-based prioritization
- (Partial) automation of maintenance orders
- Automated creation of reports and documentation
ECM 4 (performs maintenance):
- More efficient use of existing capacities with a positive effect on profitability
- (Partial) avoidance of unplanned maintenance
- Reduction of deviations between prognosis and work planning
- (Partial) automation of report creation for documentation of the initial condition
- Improved networking and collaboration with ECM 3
The advantages at a glance
Reliable basis for
ECM decisions
Support for maintenance control
in compliance with regulations
Condition-based prioritization
of maintenance measures
Optimized use of
existing capacities
Increased traceability
of maintenance decisions
Timely detection of unplanned
maintenance requirements
Please contact us personally
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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.