AS WIND POWER FLEET AGES, MORE SPENDING ON MAINTENANCE PREDICTED
INCREASE WIND FARM EFFICIENCY
Runs Efficiently - Keep Performing above Top
due to lack of available data, existing reliability models and maintenance tools are based on assumed failure rate - Now Brainbox digitally enables your turbines so that you can get sufficient visibility of the reality
REAL-TIME WIND PROFILING
A system that forecasts gusts before they arrive, reducing wear and boosts performance
Helps to improve performance by optimizing operation and control parameters, drastically reduces wear and tera of the blades, gearbox components and boost power outputs
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Wind profile prediction through computational intelligence approach
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Measure and estimate atmospheric boundary layer
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Interaction between turbines
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Estimation of time varying loads on blade sections
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Missing value recovery from wind data
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Use of proprietary AI algorithms to measure wind speed and direction to provide actionable intelligence to turbine's control system
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Unsupervised learning for faster response
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In-built governing and influencing models
AUTONOMOUS STRUCTURAL INTEGRITY & STABILITY MANAGEMENT
Brainbox helps in an uninterrupted monitoring of external loading factors and impacts which comes in from shear and gust wind, ship collision etc. Brainbox in tandem also provide ample opportunity to monitor the control systems as the control systems are subjected to failures or malfunctioning
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Real-time monitoring of the blade flap loads
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Uninterrupted measurement of wind shear to predict blade fatigue
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Physics based modelling of wind speed, temperature and humidity to predict failures in control system, drive train and yaw system
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Cross correlational analysis of influencing parameters for turbine failures, helps in better preparation
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Time domain models to observe forces and predict failures based on coupling
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Failure mode and effects analysis
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Measuring normal and wind-induced inclination
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Omnidirectional station to identify structural anomalies
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Analyze Wall thickness degradation
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Internal Erosion
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Verification and Validation of cracks and fatigue
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Prescribe remaining useful life
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Real-time image processing
GEARBOX AND SHAFT FAILURES
With BRAINBOX Now You can Determine the Cause of Failure like Misuse or Abuse, Assembly Errors, Improper Maintenance or Unforeseen Operating Conditions
Gearboxes are complex machines and their reliability is crucial Condition monitoring systems are useful tools for estimating defects, but their performance relies upon the training procedures, which often requires a very expensive experimental setup.
BRAINBOX introduces a numerical approach to predict the effects of the component failures or the entitle gearbox assembly under several working conditions. for example, in perspective of bearing damage results when there is an increase in operating temperature, lubricant contamination or vibration. Brainbox emphasize more on vibrations and uses an efficient vibration monitoring technique to detect and identify bearings involved and provide more insight on the damage.