Data.
Efficiently.
Analysed.

The Durability Transfer method can be used to efficiently record the load and stress events on a very large number of vehicles, aircrafts or machines with different drivers and operators under typical operating conditions over long periods of time or in a non-stop mode. Easily measured reference variables, such as accelerations and/or CAN data, are used to derive the stresses using suitable transfer models. Depending on the objective, statements can be made on the increasing complexity of the reference variables to be used, ranging from global stress events to assemblies and the derivation of complete time series at component level.



Based on these results, a vehicle-specific alternative odometer or machine-specific operating hours counter can also be derived, which monitors the load events in the vehicle or machine and provides information if threshold values are exceeded. This makes it quick and easy to decide how to proceed in individual cases for a fleet of vehicles or machinery. Of course, operators, customers or regions of operation can also be compared and statistically evaluated. Actual misuse of vehicles or equipment can also be detected using the Durability Transfer method.

A key factor that defines the load and stress behavior of a vehicle results from the roadway profile or road quality travelled on. We have developed the so-called road quality method so that this essential parameter can be collected efficiently and cost-effectively for a large database.

Using basic sensors (if possible available on the CAN), the road profile is recorded during daily customer use, the data is transmitted to a server environment via 5G and assigned to previously defined categories using intelligent algorithms.

If the GPS is also tracked during recording, a map can then be generated by combining both pieces of information, in which regions, countries, road types (e.g. motorway, country, city) etc. can be compared and statistically evaluated.

Thanks to the expertise we have built up over many years in a wide variety of projects worldwide, as well as a wide range of tools developed in-house, one of our core competences is the comprehensive and targeted analysis of very large volumes of data.
Measurement data acquisition:

• Several hundred analogue measurement channels synchronized (e.g. strain gauges, acceleration sensors, thermocouples, pressure sensors, etc.)
• Various CAN node
• GPS
• and much more.

Automatic plausibility check:

• Finding offsets, unit and channel name standardization/li>
• Drift, extreme value and NoValue detection
• Peak and missing point detection
• User-defined corrections of detected errors and anomalies

Measurement data analysis:

• Classifications such as load frequency distributions (RangePair, LevelCrossing, TimeAtLevel)
• Analyses in the frequency range (FFT, PSD, ...)
• Linear damage accumulation calculation

• Derivation of operational loads and customer collectives
• Composition of test cycles for test benches and test sites
• Statistical validation of design standards

We apply and connect strain gauge bridges, acceleration sensors, thermocouples, pressure sensors and telemetry systems to vehicles, airplanes and machines for short-term or long-term data acquisition.

We use our own measurement technology for this, which can record several hundred analogue measurement channels and many CAN nodes synchronously. Thanks to 5G-capable on-board units on which we have installed specially developed software, we can also monitor autonomous customer measurements remotely.

Of course, we organize reference measurements as well as service measurements in desired projects worldwide and also carry them out independently.
We apply and connect

• Strain gauge bridges
• Acceleration sensors
• Thermocouples
• Pressure sensors
• Telemetry systems
• Calibration of measurement components (e.g. force & torque measurement)

On-board units (approx. 2.7 kg incl. sensors)

• 5G-capable -> worldwide data transfer
• Specially developed software (according to customer requirements)
• Remote monitoring of measurements possible

In a first step, we help you to identify which variables, such as acceleration, local tension, forces, temperatures, pressures, speeds or torques, should be recorded on an assembly or an overall system (vehicle, aircraft, machine) and why.

In a further step, we work out how the desired information can be recorded in the best possible way. Based on additional information such as FE analyses, we outline the exact positions at which a selected sensor should be installed and, if necessary, even design multiaxial load transducers that are optimally designed for the desired application using calibration matrices.