Signal Analysis Lab is a company specialized in general signal analysis tools, with particular emphasis on predictive maintenance. By utilizing cutting-edge technology and a structured market-oriented methodology we automate predictive fault detection in cases not possible today, i.e., 90 % of all condition based monitoring.
After the excellent mentoring by Tor Inge Waag in then Teknova, we achieved both a Horizon 2020 Phase 1 project, as well as him guiding us in making our technology ready for a full-scale industry pilot on crane system for offshore wind mounting.
Due to previous success with this program, we are applying for a second round of “IKT Forskerpool” in order to:
• Conduct a feasibility study on the commercial scalability of our solution – s2s.
• Validate the new capabilities of s2s.
• Independent review of the emerging state of the art in the predictive maintenance field.