On 18th June 2019, we invited users of the ONYX InSight fleetMONITOR program to join us for a user forum where we discussed a number of recent case studies and examples of turbine technology failure detections. Attendees heard from Head of Global Monitoring, Noah Myrent and Software Product Owner Dr Samuel Wharton about main bearing faults, high speed bearing faults and a case where debris and vibration monitoring took place simultaneously.
The forum also included a poll where ONYX InSight had the chance to ask wind farm owners and operators their view of predictive maintenance technology and where it adds most value for them, in practice.
The poll found that 53% of fleetMONITOR users agree that the generator is the part of turbine technology that they would like to see transformed next by predictive analytics technology. Rotor blades and pitch systems are the second and third areas where owners and operators want to see the impact of predictive analysis. These two turbine technology parts go hand in hand and as a result of these poll answers, ONYX will pursuing this demand as it continues to develop its analytics technologies.
In answer to the question ‘How would new reliability-based software tools best fit in to your current digital setup’, 67% of fleetMONITOR users answered, ‘Integrate reliability into existing performance platform’. 25% of forum attendees voted for a reliability platform which utilises all reliability data.
87% of forum attendees agreed that performance and other SCADA metrics would add the most value to vibration monitoring. Temperature and Inspection photos were voted second and third most valuable data streams in addition to vibration monitoring. This agrees with the case studies included in ONYX’s presentation in the Forum which showed that lots of data streams are useful and if we can take all of these into account, a bigger and clearer picture of turbine performance can be formed.
In the fleetMONITOR User Forum, it was highlighted that any wind farm, even with only one data stream, such as vibration, can still benefit from monitoring turbine performance data. The more data streams being produced by a wind farm, such as lubrication data and temperature, more value there is to be added to the analysis of the overall health of a wind farm.
The capability of fleetMONITOR analytics depends somewhat on the number of data streams which feed in to it. However, this relies on access to turbine performance data, which is in many cases restricted by OEMs. Data access is going to drive the capability to improve integrated analytics across the industry.
If you are interested in hearing more about how we are working with owners and operators to empower the wind industry to demand the data access it deserves, join the Data Access Working Group. Click here to register your interest.
The next fleetMONITOR User Form will take place in Q4.