Metrics like energy availability and production only tell half the story. Were your assets actually producing as they should have? In Canopy, we approach Performance in a different way. We model the Power output at every time step, so instead of trying to figure out performance over weeks or months of data in power curves,we can tell you at every minute whether your turbine is performing as it should.
You can create Cases -sandbox environment for investigations- around any health or performance issue over any selection of assets. Involve your colleagues, investigate through our various tools and visualisations, and check against any other sensor from your SCADA system. You can also discuss and annotate results collaboratively right inside Canopy.
Canopy allows you to dive deeper into the components and subcomponents of your assets and identify which part requires your attention. It triggers alarms on component level (generator, rotor, actuators), and also tells you exactly which sensors are reading abnormal behaviour, in which direction, and how much.
Renewable assets behave differently under different circumstances. Alarm fatigue due to rule-based SCADA alarms are a thing of the past. Canopy distinguishes normal from abnormal behaviour based on complex models over multiple sensors or distribution shifts between the sensors,and it does so for each asset separately. In Canopy's health module, you are able to explore the results from fleet to sensor-level detail.
Canopy works with data hosted on your cloud infrastructure as well as our own. We have a strong track record with in housing SCADA data from all major wind turbine OEMs. Want to know more about this option? Get in touch!
Canopy BAcktest
Historical data
Dedicated account manager
Troubleshooting
Performance dashboard
Analytics tools
Normality modelling
Abnormality notifications
Normality modelling
Abnormality notifications
Optimal maintenance scheduling
Canopy live
Real-time Data
Dedicated account manager
Troubleshooting
Performance dashboard
Analytics tools
Normality modelling
Abnormality notifications
Normality modelling
Abnormality notifications
Optimal maintenance scheduling
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