Case Studies(Page 2)

Case Studies

The University of Bordeaux uses Dewesoft-powered CNC machining instrumentation to give engineering students hands-on experience with real manufacturing processes. By combining machine-control data with force, torque, and power measurements, students and researchers can analyze cutting performance, energy consumption, and process optimization in real time. The platform supports education from undergraduate to doctoral level while advancing research in sustainable, energy-efficient manufacturing and Industry 4.0 technologies.

Case Studies

Researchers from Veski, the University of Zagreb, and HEP developed a machine learning add-on for hydropower plants that detects hydro-generator faults long before conventional alarms. By learning normal operating behavior and analyzing vibration residuals in real time, the system identified deviations up to 47 days before critical failure, improving reliability, maintenance planning, and operational safety.

Case Studies

Leane International developed a flexible pass-by-noise testing solution that combines DewesoftX automation, Sequencer workflows, and Python-based GarageLab analysis. The system allows a single operator onboard the vehicle to manage measurements, validate test runs, process data, and generate reports in real time. By integrating automated workflows, synchronized DAQ, and customizable reporting, the solution delivers a cost-effective and adaptable alternative to traditional PBN testing systems.

Case Studies

Mavel Powertrain is transforming electric motor testing from simple validation into a data-driven engineering ecosystem. By combining Dewesoft DAQ systems, centralized data management, simulation tools, and AI-supported analytics, the company turns test data into reusable engineering knowledge. This approach speeds development, improves reliability, reduces physical testing, and creates smarter, more connected workflows for future electric drive design.

Case Studies

COMPREDICT uses Dewesoft measurement technology to validate automotive Virtual Sensors with synchronized, high-quality vehicle data. By combining real-time bus signals with engineering-grade reference measurements in one demo vehicle, the system enables accurate calibration, scalable deployment, and live demonstrations of Virtual Sensor performance under real driving conditions.

Case Studies

Engineers implemented a continuous structural health monitoring system on Albania’s Drinit Bridge using Dewesoft MEMS accelerometers, optical strain sensors, and wind transducers. Through modal analysis and advanced displacement algorithms, the system verified the bridge’s stability under strong winds, ensured long-term structural safety, and eliminated the need for costly tuned mass dampers.

Case Studies

WINTERSTEIGER used Dewesoft’s rugged KRYPTON data acquisition system during a remote field campaign in Brazil to measure real-world structural loads on its Quantum Pro plot combine harvester. Operating in extreme heat, humidity, and vibration, the setup captured acceleration, strain, GPS, and CAN data across 85 hours of testing, helping validate load assumptions and support future product development and durability improvements.

Case Studies

AI-driven data transformation improves EV battery management by turning complex measurement data into accurate predictive models. Using Dewesoft’s high-precision data acquisition and ETAS’s modeling tools, the integrated toolchain enhances State of Charge estimation and range prediction. This reduces range anxiety, enables real-time decision-making, and supports more reliable, efficient, and intelligent electric vehicle systems.

Case Studies

A dynamic-response-based framework enables early detection of structural degradation in complex historic sites by combining continuous monitoring with BIM, GIS, and Digital Twins. Applications in Pozzuoli and Pompeii show how subtle performance changes can be tracked and translated into actionable indicators, supporting proactive risk management, maintenance planning, and informed decision-making under evolving hazard conditions.

Case Studies

E-Team Squadra Corse validated electrical and thermal models of a Formula SAE electric race car using high-precision Dewesoft measurements during endurance testing. The results showed high accuracy, with battery voltage error below 2% and motor temperature within 5°C, enabling reliable real-time models for predictive power and thermal management and improved race performance.

Case Studies

Faraday Rocketry UPV improved rocket motor testing using a Dewesoft DAQ system, enabling precise thrust and temperature measurements under extreme conditions. The new setup simplified data collection, reduced noise, and enabled real-time analysis. It helped identify ignition issues and cut ignition time from seconds to 72 ms, improving performance and reliability.

Case Studies

ESO is deploying a permanent vibration monitoring system for the Extremely Large Telescope using low-noise Dewesoft IOLITE MEMS accelerometers and DewesoftX software. Early phase-one data already shows how wind, construction activity, and earthquakes affect the telescope and dome, helping engineers verify performance, track trends, and protect optical stability.

Case Studies

Synchronized, multi-band magnetic field measurements in electric vehicles transform electromagnetic emissions from compliance data into a valuable diagnostic tool. By capturing repeatable magnetic signatures during real driving, engineers can identify subsystem behavior, detect gear shifts, and reveal early faults or tampering, all without access to internal signals, enabling predictive maintenance and improved system observability.

Case Studies

A battery-free wireless telemetry system enables direct, real-time measurement of bearing temperature inside high-performance electric powertrains. Applied to Ferrari’s MGU-K, it captures previously inaccessible thermal data on rotating components, revealing early signs of friction and degradation. Integrated with DewesoftX, it supports predictive maintenance, improved reliability, and performance optimization under real operating conditions.

Case Studies

Eu-BEST is building a shared, modular rocket test infrastructure to replace Europe’s costly, launcher-specific facilities. Focused on the ground segment, where nearly all lifecycle cost and risk sit, it offers standardized benches, universal interfaces, real-time control, and digital twins to speed testing, cut duplication, and support up to 200 tests per year, making access easier for emerging space companies.

Case Studies

DARTS-PL is building an open, high-resolution dataset for autonomous vehicle perception in Poland, using synchronized cameras, lidars, radars, GNSS/IMU, and thermal imaging in DewesoftX. By capturing real roads, seasons, weather, and edge cases, it helps reduce geographic bias in AV training and supports safer, more reliable testing for Central and Eastern Europe.

Case Studies

A 135 MW Francis turbine developed recurring runner crown cracks after decades of operation, culminating in catastrophic failure. Monitoring revealed a persistent 140 Hz vibration linked to rotor–stator interaction. Modal analysis showed this excitation matched a natural frequency of the runner–shaft system, confirming resonance as the main cause of crack initiation and growth.

Case Studies

The Hangar Bridge in Trondheim, Norway, is Scandinavia’s first pedestrian bridge built entirely from recycled aluminum. To study its lightweight structural behavior and support future aluminum bridge design standards, NTNU and Dewesoft Monitoring installed a permanent structural health monitoring system using accelerometers, strain gauges, and synchronized daisy-chained data acquisition technology. The system provides long-term data on the bridge’s performance and dynamic response.

DC

Daniel Colmenares

Mar 4, 2026

Case Studies

During construction of Vienna’s DC Tower 2, engineers used real-time vibration monitoring, Dewesoft MEMS sensors, and a digital twin to track the tower’s actual stiffness and wind response. The live data revealed the structure was far stiffer than design estimates, cutting predicted top acceleration by about 30 percent and confirming that a tuned mass damper was unnecessary, saving several floors and around two million euros.

KS

Konrad Schweiger

Dec 30, 2025

Case Studies

The BUT GMP program at IUT Le Creusot trains future mechanical technicians through hands-on exercises that connect theory with real testing. Using Dewesoft systems, students measure vibrations, strain, and displacement to study material behavior and validate structural models. This practical approach builds strong skills in design, analysis, and engineering decision-making.

Case Studies

The NAOS EVO motor’s first static firing validated a new sorbitol propellant and the Dewesoft SIRIUSi system for high-precision pressure acquisition. Results aligned closely with simulations, revealing stable performance and minor manufacturing issues such as grain cracking. The test confirmed motor reliability and set the direction for improved grain production and future optimization.

Case Studies

Students at the FEMTO-ST Institute automated the four-point probe method to measure thin-film resistivity more precisely and efficiently. Using a Keithley Source Measure Unit, MonoDAQ hardware, DewesoftX software, and Python scripting, they replaced a slow manual process with a fully automated system. The setup enables faster, repeatable, and highly accurate resistivity testing for micro- and nanoscale materials research.

Case Studies

Students at the University of Valladolid conducted Experimental Modal Analysis on a simply supported aluminum beam to study its vibration behavior. Using Dewesoft’s DEWE-43A DAQ and DewesoftX software, they identified natural frequencies and vibration modes at 2.96, 11.69, and 25.86 Hz. The experiment demonstrated how precise data acquisition enhances structural dynamic analysis for safer, more efficient engineering designs.

Case Studies

Dewesoft Inspiretech developed a Borehole Thermal Energy Storage (BTES) system at its Trbovlje facility to store excess solar heat in underground boreholes for winter use. Powered entirely by 400 m² of solar panels and two 100 kW heat pumps, the system reduces emissions, operational costs, and grid dependence. Integrated with DewesoftX, Grafana, and FUXA, it achieves 40–50 % efficiency and a 5–7 year payback, demonstrating a scalable, data-driven renewable solution.

AB

Aljaž Blažun

Nov 5, 2025