
High yields, no downtime
CMScore helps reduce downtime and ensure the profitability of your wind farm.
Although new wind turbines often come equipped with modern condition monitoring systems, older turbines frequently need to catch up. These less efficient pioneers generate less energy while your costs rise as the turbines age.
Avoidable outages force you to make an investment decision. Should you invest in a repowering project, which depending on its scope and local permitting requirements, will take a significant amount of time, or continue operating your existing fleet? Our answer: A cost-effective retrofit with our CMScore condition monitoring system.
Calculate your payback period in three easy steps. Use our ROI calculator.
In many cases, the initial investment in CMScore pays for itself within the first year of installation. Use our ROI calculator to find out exactly when your system will start to benefit from the installation.
- Search for your system in our database and import the data, or enter it yourself.
- Enter the estimated system costs per unit.
- Then, specify the number of preventable machine failures and the increase in availability achieved through CMScore.
Here's what CMScore has to offer
CMScore is designed for condition-based maintenance of the powertrain. It enables early damage detection and predictive maintenance.
Signs of wear and tear in aging fleets
As plants age, the risk to the powertrain increases. CMScore detects this damage before it threatens continued operation.
How It works
CMScore acquires measurement data directly from the turbine and transfers it to the WebLog Suite. There, the data is processed, analyzed, and automatically converted into alarms and reports. Data from third-party systems can also be integrated, giving you a unified view of your entire fleet in a single interface.
How the data is monitored is up to you. You can perform the analysis yourself using the WebLog Suite, or rely on our DNV-certified Remote Monitoring team to monitor your assets on your behalf—including alarm management and actionable maintenance recommendations.
Our publications

This paper demonstrates the importance of maintaining a sufficiently high sample rate for the early detection of bearing failures and other failure modes.

In this case study, you'll learn how CMScore is being used at the Schönerlinde Wind Farm near Berlin.
Technical Specifications
- Server-based data processing with WebLog interface
- 24 VDC power supply (power consumption < 10 W)
- 8 IEPE channels, 2 speed inputs, 2 analog inputs
- Very compact and lightweight housing
- See the data sheet for more details


