Advanced Condition Monitoring Techniques for Wind Turbines

1. PMB, WP3 - Novel Condition Monitoring and Fault Detection Techniques and Technologies - Progress Report – Simon Hogg 24th January 2019

2. WP3.1. Determining the condition of lubricated components through monitoring of oil condition. (1 PDRA 30 months) • PDRA: Dr Richard Williams started Sept 2018 • WP3.2. Condition monitoring of wind turbine bearings through fusion of vibration-based health monitoring and acoustic emission (AE) features. (2 PhD Studentships) • PhD: Matthew Jones started Oct 2018 • 2nd PhD student allocated to another project – Sheffield believe that it is possible to complete the work with 1 PhD. • WP3.3. Systems level integration of fault detection and isolation with condition monitoring. • WP3.4. Verification and validation of fault detection and condition monitoring schemes. (1 PDRA for 48 months split equally between WP3.3 and WP3.4) • PDRA: Dr YanhuaLiu scheduled to start May 2019 – duration reduced to 36 months to provide more resource for WP4 activities.. • WP3.5. Generator and converter fault analyses, including open- and short-circuits, and health and condition monitoring. (2 PhD Studentships) • PhD: Zeting Mei started Oct 2018 • PhD: Matthew Fenton-Jones started Sept 2018. Recruitment

3. Progress against tasks for each Work Package and plan for next 3 months • WP3.1. Determining the condition of lubricated components through monitoring of oil condition. • Project agreement still to be put in place (DU, Ørsted& CC Jensen as partners) – waiting for project agreement for WP2.4 to be finalised and used as a template. NDA in place with CC Jensen. • Ørstedhas procured oil monitoring sensors and instrumentation from CC Jensen and this will in installed on two Ørstedtest turbines on 23rd January 2019. • PDRA (Richard Williams) is currently in Denmark to witness instrumentation installation and to visit CC Jensen to view their test facilities. • Agreed that DU will be given access to the wind turbine and particle counting data. • Regular teleconf. meetings being held (10 am CET first Tuesday in the month). • Not much PDRA resource expected to be used next quarter as project will now go into a 6 month phase where data will be collected from the CC Jensen instrumentation on the test turbine to provide the baseline dataset for the project. • WP3.2. Condition monitoring of wind turbine bearings through fusion of vibration-based health monitoring and acoustic emission (AE) features. • Literature review underway on wind turbine condition monitoring, acoustic emission and machine learning. This will be the principal focus of Matthew Jones’s work for the next quarter. • Matthew has conducted some preliminary trial tests and data analysis on small condition monitoring rig in UoS(Jonas Lab.). • Matthew has attended a meeting with Siemens-Gamesa in Brande to identify industry priorities, now awaiting data from them (subject to NDA) • So far Matthew has completed two Doctoral Development Programme modules (on machine learning &Bayesian statistics)

4. WP3.1Determining the condition of lubricated components through monitoring of oil condition. – Richard Williams (PDRA) at one of the Ørsted Test Turbines.

5. Progress against tasks for each Work Package and plan for next 3 months • WP3.3. Systems level integration of fault detection and isolation with condition monitoring. • WP3.4. Verification and validation of fault detection and condition monitoring schemes. • Dr Yanhua Liu is not scheduled to start work on the project until after the next 3 months. • Prof. Ron Patton plans to start discussions focused on planning a benchmark study for the fault monitoring/condition monitoring involving all 3 university partners, in advance of Dr Liu starting work on the project. • WP3.5. Generator and converter fault analyses, including open- and short-circuits, and health and condition monitoring. • ZetingMei (PhD study - Fault Modelling and Diagnostics of Permanent Magnet Machines for Wind Power Applications) has completed a literature review and report and has presented it to Siemens Gamesa. • During the next 3 months Zeting will focus on the simulation of a faulty permanent magnet generator. • Matthew Fenton-Jones (PhD study - Condition Monitoring and Prognostics of Wind Turbine Power Electronics) has completed a literature review and report and has presented it to Siemens Gamesa. • During the next 3 months Matthew will focus on the simulation of thermal modelling and loss, hardware.

6. WP3 Risks identified in 4 Oct 2018 PMB report: • University of Hull are unsuccessful in recruiting a suitable PDRA for WP3.3 & 3.4, resulting in further project delay. Mitigated by recruitment of Dr Yanhua Liu to the project, but not starting until May 2019. • Project delays caused by execution of project agreement for WP3.1 now also involving CC Jensen.Project agreement still not signed but not holding up the work, which is progressing under NDA’s. Project agreement is being progressed. • New WP3 Risks identified this Quarter: • None identified. Risks and Opportunities

7. Suggested submissions to ResearchFishfor WP3. Publications WP3.3. & WP3.4. two papers presented at conferences supported by the project. The conferences were IFAC Safeprocess, Warsaw August 2018 & UKACC Control, Sheffield September 2018. Prof Ron Patton to provide paper details for ResearchFish. Collaborations & Partnerships WP3.1. CC Jensen now engaged as a new external consortium partner on this project. Use of Facilities and Resources WP3.1. Ørsted is installing new oil condition monitoring systems on two of their test wind turbines and allowing the project to use this facility to generate new baseline data for this project. Outcomes and Outputs