Changing demands within Automotive Testing – Webinar

Historically, connecting your data acquisition (DAQ) system to the cloud involved complex networking setups, manual configurations, and tedious coding. With GI.bench, cloud integration is now seamless—pair your controller to GI.cloud with one click, making secure, remote data access easier than ever before.

Improved photovoltaic (PV) system reliability and lifetime output can be safeguarded by advanced performance monitoring solutions integrated with novel data-analytic features and leverage interoperable communicative capabilities.

Currently, a vast amount of research institutions and organizations are focusing on ways to improve the operation, reliability and consequently the output of PV systems. An important aspect yet to be targeted remains the procedural and standardized approach to calculate accurately the factors behind the various performance loss mechanisms, while also detecting and diagnosing potential failures at early stages or before occurrence. Identification of degradation and failure modes at preliminary stages is important as these mechanisms directly influence the performance, lifetime and reliability of PV technology.

Korea Aerospace Industries (KAI) has selected the Q.raxx slimline DAQ system from Gantner Instruments for static strength and fatigue evaluation testing of the LCH/LAH helicopter airframe, main landing gear, and engine mount structure.