Digital expertise for better outcome
By model based diagnostics we gather data from around 6.000.000 sensors from turbines worldwide and create 1.500.000 individual digital models out of it. The system flags around 250.000 deviations per year. But which of these positives correspond to real-life faults?
Our algorithms filter out the costly false-positives and insignificant deviations. This drops the count of significant deviations that need to be adressed to aproximately 8.000 site visits a year. In fact: we don’t need to follw false-positives and your average turbine needs to be visited less often.
And the implementation won’t stop there: From service technicians reports to analyzing damage parts, it all feeds back into an ever-learning knowledge base supporting all kinds of digital tools.