SCADA-Based Condition Monitoring. Joining advanced analytic techniques with turbine engineering Michael Wilkinson EWEA 2013, Vienna. SCADA-Based Condition Monitoring. What is it? Failure detection algorithm that uses existing SCADA data
Joining advanced analytic techniques with turbine engineering
Michael WilkinsonEWEA 2013, Vienna
What is it?
Failure detection algorithm that uses existing SCADA data
Uses an established relationship between SCADA signals to detect when a component is operating abnormally
Compares suspected failures to a database of known issues to determine likelihood of an emerging problem
What is it not?
High-frequency vibration monitoring
An automatic algorithm
What signals are available?
Nacelle anemometer wind speed
Main bearing temp
Rotor rotational speed
Gearbox bearing temps
Generator bearing temps
Gearbox oil sump temp
Generator rotational speed
Hub and pitch
Phase Voltages & Currents
Nacelle internal ambient temp
Cooling system temps
External ambient temp
Depends on nacelle and external temperature and cooling system duty
Heat Loss to Surroundings
Heat Loss to Cooling System
Model using nws3 Include ambient temperature and pressure if available.
Frictional Losses Dependent on shaft speed (use rotor speedor generator speed in model)
Nws3, power, rotor speed,
external temp, cooling system temp