Future of quality assurance and maintenance innovation challenge

Future of quality assurance and maintenance innovation challenge

Use cases for innovative predictive maintenance technology.

Fraunhofer Venture acts through AHEAD as the central platform between the Fraunhofer-Gesellschaft and the national and international entrepreneurship ecosystems. As one of Europe’s premier technology transfer programs, they invest their passion for science into a new generation of deep tech entrepreneurs. Per year they support 80+ teams to validate and build their business ideas, products and founding teams.

Background Information

HAI-QC induces vibrations into a structure. By simultaneously looking at the structural response, it is possible to non-destructively recognize structural differences or changes. Any changes in the measured signature may be an indicator for changes in structural integrity. Compared to acoustical or optical measuring systems, HAI-QC provides higher sensitivity in order to support early-on recognition of structural failure using an innovative one-touch measuring method. Sensitivity can be controlled by adjustment of the excitation frequency. The reference-based approach allows a continuous tracking of structural changes over time for maintenance purposes and provides higher confidence in quality control. Initially the technology was developed for quality assessment of structural joints of thermoplastic CFRP-structures.

  • The sensor head has to be in direct contact with the test structure
  • The sensor head needs to be pressed against the test structure with a defined force that remains constant during the measurement
  • Sensitivity, measured area and depth are directly related to the induced frequency
  • The sensor is proof against rough weather conditions despite extreme temperatures
  • The sensor data subsequently has to be adjusted for temperature shifts in relation to the baseline-measurement
  • The system is not yet portable due to conditions named above


Your task is to identify fields of application for the described technology regarding structural maintenance and/or quality assurance. Describe why early on recognition of structural differences with high statistical certainty would benefit your chosen application.


Prize for 1st, 2nd and 3rd Place:

Exclusive Workshop at Fraunhofer Venture

  • Develop your application area further with the HAI-QC team
  • Gain insight into Europe’s biggest tech transfer program, including participation in workshops (exact program varies depending on the chosen date: e.g. product design, business model innovation, high impact teams) and an evening keynote or fireside chat with an experienced entrepreneur
  • Get an early look into high-tech innovation and upcoming companies: Network with 40+ other spinoff and licensing teams from Fraunhofer as well as external guests (investors, corporates, entrepreneurs)
  • Date: 10./11.12.2019 (other dates possible, tbd. once challenge ends)
  • Travel expenses within Europe & accommodation covered

Deadline:- 18-11-2019

Take this challenge