Wind turbines are often subjected to extreme mechanical stresses. Condition Monitoring Systems ensure that mechanical failures are detected before they become a danger to the entire wind turbine operation.

Ventus TripleCMAS™ (Critical Components Condition Monitoring fault detection and instant Alarm System) for the most efficient use of wind turbine data specifically designed for the wind turbine industry. Based on Artificial Intelligence and Machine Learning techniques, this solution converts the rotor and the entire swept area into a real-time monitoring system.

TripleCMAS™ (Critical Components Condition Monitoring fault detection and instant Alarm System): designed and patented by Ventus is the next generation of rotor condition monitoring solution. The independent and flexible system converts the rotor and the entire swept area into a measuring instrument for all existing and future wind turbines. The multi-modular solution includes easy-to-use sensors that, used in conjunction with the LEDS™ (Lightning and Electrostatic Discharge System) product, becomes a self-sufficient powering monitoring system.

TripleCMAS™ is designed and patented by Ventus is the next generation of rotor condition monitoring solution. The independent and flexible system converts the rotor and the entire swept area into a measuring instrument for all existing and future wind turbines. The multi-modular solution includes easy-to-use sensors that, used in conjunction with the LEDS™ product, becomes a self-sufficient powering monitoring system.

The real-time dashboard enables wind turbine operators to detect real-time failures at an early stage and turn unforeseen breakdowns into planned maintenance allowing wind turbine owners to make significant maintenance savings and increase the efficiency of the asset.

The Data Acquisition Hub is a network of wireless sensor nodes located primarily inside the blades at various locations or elsewhere dependent on client requirements.
The algorithm processing unit and wireless gateway execute calculations on the retrieved data, coordinate the communication between the wireless sensor nodes, monitor the system’s operation and transfers the data to the cloud/server.

The Data Analysis Hub consists of In-house algorithms that monitor different vibrations in the system. The algorithms are based on vibration signal processing and Machine Learning. The algorithms can identify various internal and external wind turbine failures affecting the wind turbine performance such as: