Dimensions of Fault Detection: What We Want to Achieve with CMS
With greenhouse gas emissions on the rise and our dependence on fossil fuels at an all-time high, we need to start looking at alternative ways to generate clean, renewable energy. Renewable energy sources like wind power could be the next step in reducing our global carbon footprint. Wind turbines allow us to tap into the […]
Challenges with Data Access for Wind Turbine Condition Monitoring
Wind energy is currently ranked as the third-largest electricity generation capacity in the U.S, trailing behind natural gas-fired generators and coal-fired generators. In order for the wind energy sector to be seen as a serious competitor and viable alternative to fossil fuels, the industry has to adopt new technologies and data sharing practices. Sounds simple, right? But […]
EU Project “AI-TRAIN” completed
Vertikal AI’s core product is an AI platform for wind turbine drivetrain condition monitoring, using online data streams from vibration sensor systems. The business of condition monitoring is about delivering early warning on mechanical faults, so that maintenance operations and repair costs can be minimized. Early and robust fault detection also reduces unplanned downtime, and […]
AI can accelerate the renewable energy transition
Did you know that AI can accelerate the renewable energy transition? Turbine sensor data can be turned into actionable insights that organizations can use to drive an effective business. AI can help O&M organizations reduce the cost of renewable energy by accurately detecting mechanical faults in advance. Avoiding unexpected component failure enabling cost-efficient repairs, and […]
Stargazing with Machine Learning
By Jonas Svenstrup Hansen Machine learning is transforming the wind energy industry, driven by the requirement for scalable data analysis to reduce costs. Observation of the universe is a domain increasingly dominated by huge telescope projects that produce vast quantities of complex data. Both fields thus share a common problem: There is too much data […]
Centralizing Blade Data to Better Manage Wind Assets during and after COVID-19
Global organizations including workforces within the wind industry, have had to grapple with the life-changing and challenging impact of COVID-19 in the past few months. Many of us may be facing times ahead that are ambiguous, uncertain, and unpredictable. Beyond these concerns, the call for social distancing measures have also pushed companies towards adequately preparing […]
Standardization of Blade Damage Categorization: Critical to the Future of Wind Energy
Technology Pushes Blade Performance Technological development in the wind industry has been notable over the last decade. The industry is maturing, which ultimately brings down the cost of generated electricity. Offshore is booming and wind turbines are going “big.” Rated power has crossed 10MW, and blade length has reached 100m. All of this was made […]
