Understand Your Blades & Assets

Measure | Analyse | Optimise

What We Do

  • We offer a range of sensors for data capture including accelerometers, strain gauges and GPS.

    • High specification digital accelerometers

    • Tempory or permanent installation

    • Wired RS485 and wireless radio

    • Versatile and expandable

    • SD and local storage

    • No calibration

    • Low cost

  • Damage detection and changes to structural characteristics

    • Comparative changes by type or over time (supported by machine learning)

    • Event detection (e.g. bird strikes, abnormal movement)

    • Frequency response and transmissibility (defect detection such as bond failure)

  • Find issues before they cause problems. Such as:

    • Abnormal Vibrations

    • Fatigue Accumulation

    • Change in Characteristic Movement

    • Altered Transmissability

  • Our approach of spotting problems in your assets early enables more cost effective scheduling of repairs.

    When monitoring a group of assets, maintainance decisions can be made depending on how many assets need attention, and if the issue can be temporeraly mitigated in a different way.

    Our continuous monitoring system enables defects to be found early, and inspection can be targeted rather than scheduled.

    For a low upfront cost, our IoT device can significantly lower the maintainance costs of your assets during its lifetime.

Sense

Lab quality sensors​

  • Low cost​

  • Reliable​

  • Easy and fast to install​

+

Analytics

Physics based & machine learning tools

Identifying:​

  • Changes in blade dynamics/structure​

  • Damage inducing conditions​

  • fatigue accumulation​

Modelling:​

  • Blade movement ​
    (Azimuth, flex, twist and resonance)​

Comparing:​

  • Behaviour over time​

  • Against other blades/turbine/fleet​

+

Report

Actionable insights​

  • Providing visibility in the field only usually available on test blades​

  • Informing and guiding interventions at site​

  • Informing blade/turbine life extension

What we have detected

  • Rotor Behaviour

    Blade behaviour can be shown throughout the lifespan of the blades allowing changes over time or between blades to be observed, quantified and diagnosed.

    ●Interaction can be observed between blades

    ●Blade twist can also be animated

  • Blade Cracking

    Observed a persistent anomaly in the frequency response of one blade compared to the other two.

    Encapsulated the magnitude of this anomaly in a metric.

    ●Successfully detected a sub 1m crack 3 weeks before detection by drone.

    ●The initial detection was preceded by an unusually high-energy event.

  • Cumulative Vibration Exposure (CVE)

    ELEVEN-I Kinetic Energy Tool can be used to quantify the “work done” by blades to provide a metric for fatigue accumulation.

    ●Identify periods of interest

    ●Compare blade to blade

    ●Compare turbine to turbine