Maintenance Support

Predictive Maintenance
Test Benches and Test Facilities
Obsolescence Management
Digitalization of Maintenance Processes

Predictive Maintenance

Development of modern maintenance strategies towards condition-based maintenance (CBM) and predictive maintenance (PdM)

Installation of sensors for continuous recording of condition parameters, integration of IoT technologies

Use of predictive algorithms to determine the optimum maintenance time before a failure occurs

Adapting and optimising maintenance plans based on the predictions to increase efficiency and reduce costs

Implementation of tools for automated fault diagnosis and generation of maintenance recommendations

Compatibility and interoperability: ensuring the seamless integration of predictive maintenance solutions into existing maintenance systems and processes

Ensure the security and integrity of collected data through robust security protocols and encryption techniques

Test Benches and Test Facilities

Analysis and improvement of existing test strategies to increase efficiency and accuracy

Develop modular and customisable test benches and HIL systems to support a variety of test requirements (e.g. LabVIEW-based)

Ensure the compatibility and integration of new test benches with existing test strategies and processes

Develop user-friendly software solutions to control and monitor test benches, automate tests and analyse data

Perform functional tests and calibrations to ensure the operational readiness of the test equipment

Provide training programs to train test personnel in the use of test benches

Performing regular maintenance to ensure the long-term performance and reliability of the test benches.

Obsolescence Management

Conducting comprehensive analyses to identify obsolete components and systems and their impact on operations

Ensuring technical compatibility of new components and systems with existing vehicle and infrastructure systems

Planning and implementing technology upgrades to continually modernize systems and avoid foreseeable obsolescence

Identifying suitable replacements for obsolete electronic components, including sourcing from reliable suppliers

Development and integration of modern screen displays to replace obsolete display systems

Replacement or redevelopment of obsolete control systems, testing of associated control software

Preparation and provision of all necessary documentation and evidence for the approval of new components and systems

Digitalization of Maintenance Processes

Implementation of computerized maintenance management systems (CMMS)to plan, perform and track maintenance tasks

Use IoT sensors to continuously monitor the condition of vehicles and infrastructure

Real-time data analytics: using real-time data for early detection of signs of wear and potential failures

Developing algorithms and models to predict maintenance needs, implementing predictive maintenance strategies to optimize maintenance intervals

Implementation of standardised interfaces for data exchange between different systems and platforms

Use of remote diagnostic tools to monitor and diagnose vehicles and infrastructure remotely

Develop and deliver training on the use of new digital maintenance systems and tools