Avoiding unexpected failures and scheduling maintenance windows with least downtimes are key drivers to maximize the energy production of every wind park. Understanding data generated by different components and deriving failure predictions with high confidence are key to reach this goal.

The results of the study «Artificial intelligence-based condition monitoring and predictive maintenance framework for wind turbines» have been presented at WindEurope Electric City 2021 by Janine Maron and published as a paper at iopscience.iop.org.

Huge amounts of energy and money are being lost because the potential of wind farms and solar parks is not fully exploited. WinJi closes this gap and shows how excellence in asset management leads to sustainable growth of renewable energies.

Join the largest European wind energy event in 2021.

WinJi’s vision shared at COP26
Watch the interview and get the presentation

The energy industry is changing. Digitalization and new customer expectations are important drivers.

Don’t miss out on the WinJi Gearbox Failure Detection Challenge - exclusive on the new WeDoWind platform.

WinJi is happy and proud to be one of the TOP 3 finalists of the Clean Energy Generation SET Award 2021!

The Swiss Innovation Agency Innosuisse awarded the research partners WinJi AG and the Swiss university BFH with a research project worth 0.5M CHF.

Energy producers on four continents rely on the WinJi platform to manage wind and solar power plant portfolios and optimize their performance.

WinJi has been awarded a €1.65 Million (CHF 1.8 M) loan guarantee by the Swiss Technology Fund in August 2020.