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 

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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

  • Wind profile prediction through computational intelligence approach

  • Measure and estimate atmospheric boundary layer

  • Interaction between turbines

  • Estimation of time varying loads on blade sections

  • Missing value recovery from wind data

  • Use of proprietary AI algorithms to measure wind speed and direction to provide actionable intelligence to turbine's control system

  • Unsupervised learning for faster response

  • 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

  • Real-time monitoring of the blade flap loads

  • Uninterrupted measurement of wind shear to predict blade fatigue

  • Physics based modelling of wind speed, temperature and humidity to predict failures in control system, drive train and yaw system

  • Cross correlational analysis of influencing parameters for turbine failures, helps in better preparation

  • Time domain models to observe forces and predict failures based on coupling

  • Failure mode and effects analysis

  • Measuring normal and wind-induced inclination

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  • Omnidirectional station to identify structural anomalies

  • Analyze Wall  thickness degradation

  • Internal Erosion

  • Verification and Validation of cracks and fatigue

  • Prescribe remaining useful life

  • Real-time image processing

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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. 

BENEFITS OF BRAINBOX

Improve Production - Optimize Operations & Reduce Cost

  • Reduced Unplanned Downtimes

    A system is only useful if it can be used. If a system can't be accessed, it might as well not exist.  

    One of the easiest ways to ensure high uptime is to be aware of the physical assets. Brainbox helps operators increase uptime exponentially by identifying showstoppers in advance

  • Performance Optimization

    Now track the performance of your assets even when its in air. Everything is connected with Brainbox.

     

    Know the value of your assets and vendors by tracking down individual performance. In-built comparative dimensioning to help you understand the gap between price & performance.

  • Predicting remaining Useful Life

    Lifetime expectancy of asset depends on maintenance, and largely improved though a optimized method.

    Brainbox helps you to understand well in advance the structural or machine components those are at risk and initiate a proactive approach of maintenance, by providing type and future propagation.

  • Avoid Unexpected & Unfortunate Events

    There's a long history of events, few of them we saw coming, but could not stop them in time.

    Lurking below the surface of these events are due to mechanical instabilities, resource constraints & inefficiencies. Now events can be foretold, as Brainbox is watching asset reliability constantly. 

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