SG11202101724PA - Machine learning system and data fusion for optimization of deployment conditions for detection of corrosion under insulation - Google Patents
Machine learning system and data fusion for optimization of deployment conditions for detection of corrosion under insulationInfo
- Publication number
- SG11202101724PA SG11202101724PA SG11202101724PA SG11202101724PA SG11202101724PA SG 11202101724P A SG11202101724P A SG 11202101724PA SG 11202101724P A SG11202101724P A SG 11202101724PA SG 11202101724P A SG11202101724P A SG 11202101724PA SG 11202101724P A SG11202101724P A SG 11202101724PA
- Authority
- SG
- Singapore
- Prior art keywords
- optimization
- detection
- machine learning
- learning system
- data fusion
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N25/00—Investigating or analyzing materials by the use of thermal means
- G01N25/72—Investigating presence of flaws
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N17/00—Investigating resistance of materials to the weather, to corrosion, or to light
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/25—Fusion techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/044—Recurrent networks, e.g. Hopfield networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10048—Infrared image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
- G06T2207/30136—Metal
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US16/117,937 US10533937B1 (en) | 2018-08-30 | 2018-08-30 | Cloud-based machine learning system and data fusion for the prediction and detection of corrosion under insulation |
| US16/254,831 US10643324B2 (en) | 2018-08-30 | 2019-01-23 | Machine learning system and data fusion for optimization of deployment conditions for detection of corrosion under insulation |
| PCT/US2019/049154 WO2020047469A2 (en) | 2018-08-30 | 2019-08-30 | Machine learning system and data fusion for optimization of deployment conditions for detection of corrosion under insulation |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| SG11202101724PA true SG11202101724PA (en) | 2021-03-30 |
Family
ID=67957428
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| SG11202101724PA SG11202101724PA (en) | 2018-08-30 | 2019-08-30 | Machine learning system and data fusion for optimization of deployment conditions for detection of corrosion under insulation |
Country Status (7)
| Country | Link |
|---|---|
| US (1) | US10643324B2 (en) |
| EP (1) | EP3844488A2 (en) |
| JP (1) | JP7183425B2 (en) |
| KR (1) | KR102520423B1 (en) |
| CN (1) | CN112740023A (en) |
| SG (1) | SG11202101724PA (en) |
| WO (1) | WO2020047469A2 (en) |
Families Citing this family (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11112349B2 (en) * | 2019-07-16 | 2021-09-07 | Saudi Arabian Oil Company | Metal loss determinations based on thermography machine learning approach for insulated structures |
| EP4094062A1 (en) * | 2020-01-22 | 2022-11-30 | TA Instruments-Waters LLC | Fixture identification in test systems |
| CN114094150B (en) * | 2020-06-29 | 2023-11-17 | 中国科学院大连化学物理研究所 | Machine learning-based flow battery pile optimal operation condition prediction method |
| US20220341854A1 (en) * | 2021-04-22 | 2022-10-27 | Baker Hughes Holdings Llc | Erosion detection and prediction |
| US11940083B2 (en) | 2021-06-15 | 2024-03-26 | Saudi Arabian Oil Company | Determining thermal conditions in a pipeline |
| CN113554105B (en) * | 2021-07-28 | 2023-04-18 | 桂林电子科技大学 | Missing data completion method for Internet of things based on space-time fusion |
| CN113537385B (en) * | 2021-08-01 | 2023-12-05 | 国网冀北电力有限公司超高压分公司 | Electric composite insulator hydrophobicity classification method based on TX2 equipment |
| CN115389820B (en) * | 2022-10-27 | 2023-03-24 | 广东微容电子科技有限公司 | MLCC insulation resistance detection device and use method |
| KR102524682B1 (en) * | 2022-12-28 | 2023-04-21 | 수자원기술 주식회사 | Time-Worn Measuring Method of Drinking Water Nonmetal Pipe |
| KR102524683B1 (en) * | 2022-12-28 | 2023-04-21 | 수자원기술 주식회사 | Time-Worn Measuring System of Drinking Water Nonmetal Pipe |
Family Cites Families (30)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR200291614Y1 (en) * | 2002-07-03 | 2002-10-11 | 황장선 | A Adiabatic Coated Double Insulation Pipe |
| US20040257464A1 (en) | 2003-06-20 | 2004-12-23 | Pandit Amol S. | Camera tripold with memory storage and power source |
| US7145148B2 (en) | 2003-09-25 | 2006-12-05 | Alfano Robert R | Systems and methods for non-destructively detecting material abnormalities beneath a coated surface |
| WO2007147158A2 (en) * | 2006-06-16 | 2007-12-21 | Worcester Polytechnic Institute | Infrared defect detection system and method for the evaluation of powdermetallic compacts |
| US8596861B2 (en) | 2008-11-06 | 2013-12-03 | Honeywell International Inc | Method and system for detecting corrosion under insulation |
| US7902524B2 (en) | 2009-02-23 | 2011-03-08 | The Boeing Company | Portable corrosion detection apparatus |
| CN102692429B (en) * | 2011-03-24 | 2013-10-30 | 中国科学院沈阳自动化研究所 | Method for automatic identification and detection of defect in composite material |
| US20130037420A1 (en) | 2011-08-10 | 2013-02-14 | Miki Funahashi | Method and apparatus for detecting moisture on metal and other surfaces, including surfaces under thermal insulation |
| US9217999B2 (en) | 2013-01-22 | 2015-12-22 | General Electric Company | Systems and methods for analyzing data in a non-destructive testing system |
| GB201303324D0 (en) | 2013-02-25 | 2013-04-10 | Subterandt Ltd | Passive detection of deformation under coatings |
| US20160284075A1 (en) | 2013-03-14 | 2016-09-29 | Essess, Inc. | Methods, apparatus, and systems for structural analysis using thermal imaging |
| US20160148363A1 (en) * | 2013-03-14 | 2016-05-26 | Essess, Inc. | Methods and systems for structural analysis |
| US9857228B2 (en) * | 2014-03-25 | 2018-01-02 | Rosemount Inc. | Process conduit anomaly detection using thermal imaging |
| US10057546B2 (en) | 2014-04-10 | 2018-08-21 | Sensormatic Electronics, LLC | Systems and methods for automated cloud-based analytics for security and/or surveillance |
| CN204086134U (en) | 2014-07-31 | 2015-01-07 | 中国石油大学(北京) | A kind of corrosive pipeline detector |
| US10261204B2 (en) * | 2014-12-31 | 2019-04-16 | Ge Energy Oilfield Technology, Inc. | Methods and systems for scan analysis of a core sample |
| CN104809359B (en) * | 2015-05-22 | 2017-09-29 | 中国石油化工股份有限公司 | Corrosion under insulation methods of risk assessment |
| US10949584B2 (en) | 2015-05-22 | 2021-03-16 | Board Of Trustees Of Michigan State University | Defect detection system using finite element optimization and mesh analysis |
| WO2017105646A1 (en) | 2015-12-17 | 2017-06-22 | Exxonmobil Upstream Research Company | Thermographic method and system for inspecting a pipe |
| US11507064B2 (en) | 2016-05-09 | 2022-11-22 | Strong Force Iot Portfolio 2016, Llc | Methods and systems for industrial internet of things data collection in downstream oil and gas environment |
| CN107543616B (en) * | 2016-06-24 | 2019-08-20 | 丘国强 | Utilize the machine condition monitoring system of three-dimensional thermal imaging |
| JP6825846B2 (en) | 2016-08-10 | 2021-02-03 | 旭化成株式会社 | Maintenance support equipment, maintenance support programs, and maintenance support methods |
| GB201711412D0 (en) | 2016-12-30 | 2017-08-30 | Maxu Tech Inc | Early entry |
| CN106771765A (en) * | 2017-01-05 | 2017-05-31 | 华北电力大学（保定） | A kind of multidimensional parameter appraisal procedure of operating composite insulator degree of aging |
| US10866927B2 (en) * | 2017-05-10 | 2020-12-15 | General Electric Company | Intelligent and automated review of industrial asset integrity data |
| US10139372B1 (en) | 2017-05-19 | 2018-11-27 | Saudi Arabian Oil Company | Two-stage corrosion under insulation detection methodology and modular vehicle with dual locomotion sensory systems |
| US20180341876A1 (en) * | 2017-05-25 | 2018-11-29 | Hitachi, Ltd. | Deep learning network architecture optimization for uncertainty estimation in regression |
| US10817152B2 (en) * | 2017-09-17 | 2020-10-27 | Ge Inspection Technologies, Lp | Industrial asset intelligence |
| US10976244B2 (en) | 2018-03-21 | 2021-04-13 | The Boeing Company | Surface inspection system, apparatus, and method |
| US11598728B2 (en) | 2018-05-04 | 2023-03-07 | Hydromax USA, LLC | Multi-sensor pipe inspection system and method |
-
2019
- 2019-01-23 US US16/254,831 patent/US10643324B2/en active Active
- 2019-08-30 WO PCT/US2019/049154 patent/WO2020047469A2/en active Application Filing
- 2019-08-30 CN CN201980051592.0A patent/CN112740023A/en active Pending
- 2019-08-30 SG SG11202101724PA patent/SG11202101724PA/en unknown
- 2019-08-30 JP JP2021536662A patent/JP7183425B2/en active Active
- 2019-08-30 EP EP19769325.2A patent/EP3844488A2/en active Pending
- 2019-08-30 KR KR1020217006880A patent/KR102520423B1/en active IP Right Grant
Also Published As
| Publication number | Publication date |
|---|---|
| US20200074616A1 (en) | 2020-03-05 |
| WO2020047469A2 (en) | 2020-03-05 |
| US10643324B2 (en) | 2020-05-05 |
| JP7183425B2 (en) | 2022-12-05 |
| JP2022501617A (en) | 2022-01-06 |
| EP3844488A2 (en) | 2021-07-07 |
| KR20210048506A (en) | 2021-05-03 |
| WO2020047469A3 (en) | 2020-07-02 |
| KR102520423B1 (en) | 2023-04-11 |
| CN112740023A (en) | 2021-04-30 |
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