| Feb. 13, 2024, 4:20 p.m. |
Created
43
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[{"model": "core.projectfund", "pk": 63513, "fields": {"project": 11718, "organisation": 11073, "amount": 96426, "start_date": "2013-05-01", "end_date": "2014-02-28", "raw_data": 179110}}]
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| Jan. 30, 2024, 4:24 p.m. |
Created
43
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[{"model": "core.projectfund", "pk": 56351, "fields": {"project": 11718, "organisation": 11073, "amount": 96426, "start_date": "2013-05-01", "end_date": "2014-02-28", "raw_data": 157410}}]
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| Jan. 2, 2024, 4:15 p.m. |
Created
43
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[{"model": "core.projectfund", "pk": 49165, "fields": {"project": 11718, "organisation": 11073, "amount": 96426, "start_date": "2013-05-01", "end_date": "2014-02-28", "raw_data": 135227}}]
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| Dec. 5, 2023, 4:24 p.m. |
Created
43
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[{"model": "core.projectfund", "pk": 41918, "fields": {"project": 11718, "organisation": 11073, "amount": 96426, "start_date": "2013-04-30", "end_date": "2014-02-28", "raw_data": 103298}}]
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| Nov. 27, 2023, 2:14 p.m. |
Added
35
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{"external_links": []}
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| Nov. 21, 2023, 4:38 p.m. |
Created
43
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[{"model": "core.projectfund", "pk": 34624, "fields": {"project": 11718, "organisation": 11073, "amount": 96426, "start_date": "2013-04-30", "end_date": "2014-02-28", "raw_data": 68093}}]
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| Nov. 21, 2023, 4:38 p.m. |
Created
41
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[{"model": "core.projectorganisation", "pk": 101045, "fields": {"project": 11718, "organisation": 13551, "role": "PARTICIPANT_ORG"}}]
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| Nov. 21, 2023, 4:38 p.m. |
Created
41
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[{"model": "core.projectorganisation", "pk": 101044, "fields": {"project": 11718, "organisation": 13551, "role": "LEAD_ORG"}}]
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| Nov. 21, 2023, 4:38 p.m. |
Created
40
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[{"model": "core.projectperson", "pk": 63592, "fields": {"project": 11718, "person": 15560, "role": "PM_PER"}}]
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| Nov. 20, 2023, 2:04 p.m. |
Updated
35
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{"title": ["", "Feasibility Assessment of ReliaWind Condition Monitoring Technology for Offshore Wind Turbine Drivetrains"], "description": ["", "\nReliability is vital in the growth of the wind industry, especially offshore, and to realise the UK's targets for 2020. Wind Technologies has developed a novel and patent-pending condition monitoring technology, ReliaWind, with highly enhanced precision and wider range of fault prediction for wind turbine drivetrains, enabling more than 30% reduction in maintenance cost of offshore wind farms.\n The unique feature of ReliaWind is utilising both mechanical and electrical measurements, fed into an advanced self-learning algorithm, which enables accurate prediction of various faults in the gearbox, generator and bearings.\n The project aims to assess the feasibility of ReliaWind technology, proven on a small-scale laboratory test rig, for large offshore wind turbines by assessing its performance in a real 20 kW wind turbine and studying its fault prediction capability for commonly used drivetrain architectures in offshore turbines.\n\n"], "extra_text": ["", "\n\n\n\n"], "status": ["", "Closed"]}
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| Nov. 20, 2023, 2:04 p.m. |
Added
35
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{"external_links": [47653]}
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| Nov. 20, 2023, 2:04 p.m. |
Created
35
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[{"model": "core.project", "pk": 11718, "fields": {"owner": null, "is_locked": false, "coped_id": "68014ddf-ece4-4850-846c-b8c7af0c45ec", "title": "", "description": "", "extra_text": "", "status": "", "start": null, "end": null, "raw_data": 68076, "created": "2023-11-20T13:43:45.022Z", "modified": "2023-11-20T13:43:45.022Z", "external_links": []}}]
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