• News
  • Press Releases
  • Wind

Revolutionizing wind turbine data driven rotor monitoring and alarm systems with new Ventus TripleCMAS

Ventus Group has launched TripleCMAS, a product that converts the rotor and swept area into a condition monitoring and alarm system.

Launched on a global scale simultaneously at Wind Energy Hamburg in Europe and at the Renewable Energy India Expo 2022, TripleCMAS offers a new way of improving asset health and performance management thanks to patented innovative technology. This data-driven rotor monitoring system is based on data collected wirelessly from the rotor, whereafter algorithms using machine learning and artificial intelligence analyze the data. The independent and flexible system converts the rotor and the entire swept area into a measuring instrument for wind turbines, complete with live dashboard and alarm systems that alert operators when specified thresholds per algorithm are exceeded.

The multi-modular solution includes easy-to-install sensor nodes that, when used in conjunction with Ventus Group’s future LEDS product, also becomes a monitoring and alarm system on the efficiency of the lighting and electrostatic discharge system from each individual wind turbine blade. Weighing less than 200 grams, the sensor nodes can be retrofitted to the turbine tower and inside of blades for wireless, remote sensing.

Located in the nacelle, the data collection and data processing box is designed specifically for wind turbines, with the Ventus Data Processing Unit securely transferring analytics and alarms to the operator’s dashboard and Ventus Central Server. The TripleCMAS provides alarms and a real-time dashboard, enabling operators to perform trend- and across fleet analysis to detect failures at an early stage. This reduces risks and ultimately extends the lifetime of the turbine using a host of algorithms monitoring wind speed and direction, turbulence intensity, relative blade pitch angles, punctual shocks in the blade structure, movements in the foundation, to mention a few.

To read the full content,
please download the PDF below.