History of changes to: AI-Analyst: Next Generation Advanced Pattern Recognition for Operations & Maintenance Supporting Delivery of a Low Carbon Future
Date Action Change(s) User
Nov. 27, 2023, 2:12 p.m. Added 35 {"external_links": []}
Nov. 20, 2023, 2:02 p.m. Added 35 {"external_links": []}
Nov. 13, 2023, 1:33 p.m. Added 35 {"external_links": []}
Nov. 6, 2023, 1:31 p.m. Added 35 {"external_links": []}
Aug. 14, 2023, 1:30 p.m. Added 35 {"external_links": []}
Aug. 7, 2023, 1:31 p.m. Added 35 {"external_links": []}
July 31, 2023, 1:34 p.m. Added 35 {"external_links": []}
July 24, 2023, 1:35 p.m. Added 35 {"external_links": []}
July 17, 2023, 1:34 p.m. Added 35 {"external_links": []}
July 10, 2023, 1:25 p.m. Added 35 {"external_links": []}
July 3, 2023, 1:26 p.m. Added 35 {"external_links": []}
June 26, 2023, 1:25 p.m. Added 35 {"external_links": []}
June 19, 2023, 1:27 p.m. Added 35 {"external_links": []}
June 12, 2023, 1:29 p.m. Added 35 {"external_links": []}
June 5, 2023, 1:33 p.m. Added 35 {"external_links": []}
May 29, 2023, 1:27 p.m. Added 35 {"external_links": []}
May 22, 2023, 1:28 p.m. Added 35 {"external_links": []}
May 15, 2023, 1:31 p.m. Added 35 {"external_links": []}
May 8, 2023, 1:37 p.m. Added 35 {"external_links": []}
May 1, 2023, 1:27 p.m. Added 35 {"external_links": []}
April 24, 2023, 1:34 p.m. Added 35 {"external_links": []}
April 17, 2023, 1:29 p.m. Added 35 {"external_links": []}
April 10, 2023, 1:24 p.m. Added 35 {"external_links": []}
April 3, 2023, 1:26 p.m. Added 35 {"external_links": []}
Jan. 28, 2023, 11:08 a.m. Created 43 [{"model": "core.projectfund", "pk": 26281, "fields": {"project": 3470, "organisation": 4, "amount": 323892, "start_date": "2021-04-30", "end_date": "2022-08-30", "raw_data": 41535}}]
Jan. 28, 2023, 11:08 a.m. Created 40 [{"model": "core.projectperson", "pk": 54068, "fields": {"project": 3470, "person": 11539, "role": "PM_PER"}}]
Jan. 28, 2023, 10:52 a.m. Added 35 {"external_links": []}
April 11, 2022, 3:46 a.m. Created 43 [{"model": "core.projectfund", "pk": 18385, "fields": {"project": 3470, "organisation": 4, "amount": 323892, "start_date": "2021-04-30", "end_date": "2022-08-30", "raw_data": 16442}}]
April 11, 2022, 3:46 a.m. Created 41 [{"model": "core.projectorganisation", "pk": 70260, "fields": {"project": 3470, "organisation": 1624, "role": "PARTICIPANT_ORG"}}]
April 11, 2022, 3:46 a.m. Created 41 [{"model": "core.projectorganisation", "pk": 70259, "fields": {"project": 3470, "organisation": 812, "role": "PARTICIPANT_ORG"}}]
April 11, 2022, 3:46 a.m. Created 41 [{"model": "core.projectorganisation", "pk": 70258, "fields": {"project": 3470, "organisation": 4935, "role": "PARTICIPANT_ORG"}}]
April 11, 2022, 3:46 a.m. Created 41 [{"model": "core.projectorganisation", "pk": 70257, "fields": {"project": 3470, "organisation": 1624, "role": "LEAD_ORG"}}]
April 11, 2022, 3:46 a.m. Created 40 [{"model": "core.projectperson", "pk": 43223, "fields": {"project": 3470, "person": 1864, "role": "PM_PER"}}]
April 11, 2022, 1:47 a.m. Updated 35 {"title": ["", "AI-Analyst: Next Generation Advanced Pattern Recognition for Operations & Maintenance Supporting Delivery of a Low Carbon Future"], "description": ["", "\nConsidered by many to be the holy grail of predictive maintenance, transfer learning (TL) is the ability to identify failure symptoms (ISO-13379) from one asset and apply them automatically to another. Applied across the thousands of connected plant items in the Industrial Internet of Things (IIoT), it could unleash the sector's potential adding $14.2tn to the global economy by 2030 \\[Accenture\\].\n\nBreakthroughs in deep learning (DL) solving Big-Data problems, such as accurate image recognition, might provide the impression that DL would enable asset failure predictions in much the same way. However asset failure data is scarce, every asset has unique data signatures, and therefore IIoT is not Big-Data \\[Uniper, 2017\\].\n\nThis is an industrial research programme building upon a successful novel proof-of-concept technology. The AI-Analyst provides automatic modelling, early-fault detection, and diagnosis using TL, practical for O&M requirements; delivering a genuinely unique offering which can be readily commercialised and exported globally to all IIoT connected assets\n\n"], "extra_text": ["", "\n\n\n\n"], "status": ["", "Active"]}
April 11, 2022, 1:47 a.m. Added 35 {"external_links": [13546]}
April 11, 2022, 1:47 a.m. Created 35 [{"model": "core.project", "pk": 3470, "fields": {"owner": null, "is_locked": false, "coped_id": "2a9569e1-b5d3-4456-9aca-8718ef3978ae", "title": "", "description": "", "extra_text": "", "status": "", "start": null, "end": null, "raw_data": 16428, "created": "2022-04-11T01:36:33.444Z", "modified": "2022-04-11T01:36:33.444Z", "external_links": []}}]