SG11202002198TA - Thermography image processing with neural networks to identify corrosion under insulation (cui) - Google Patents
Thermography image processing with neural networks to identify corrosion under insulation (cui)Info
- Publication number
- SG11202002198TA SG11202002198TA SG11202002198TA SG11202002198TA SG11202002198TA SG 11202002198T A SG11202002198T A SG 11202002198TA SG 11202002198T A SG11202002198T A SG 11202002198TA SG 11202002198T A SG11202002198T A SG 11202002198TA SG 11202002198T A SG11202002198T A SG 11202002198TA
- Authority
- SG
- Singapore
- Prior art keywords
- cui
- image processing
- neural networks
- corrosion under
- under insulation
- Prior art date
Links
Classifications
-
- 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
- G01N17/04—Corrosion probes
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K1/00—Details of thermometers not specially adapted for particular types of thermometer
- G01K1/02—Means for indicating or recording specially adapted for thermometers
- G01K1/04—Scales
- G01K1/045—Scales temperature indication combined with the indication of another variable
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
-
- 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
- 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
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of 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
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/084—Backpropagation, e.g. using gradient descent
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
- G01N27/72—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables
- G01N27/82—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables for investigating the presence of flaws
- G01N27/90—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables for investigating the presence of flaws using eddy currents
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
- G06F16/285—Clustering or classification
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- Mathematical Physics (AREA)
- Molecular Biology (AREA)
- General Engineering & Computer Science (AREA)
- Software Systems (AREA)
- Artificial Intelligence (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- Pathology (AREA)
- Immunology (AREA)
- Environmental Sciences (AREA)
- Ecology (AREA)
- Biodiversity & Conservation Biology (AREA)
- Environmental & Geological Engineering (AREA)
- Signal Processing (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Electrochemistry (AREA)
- Investigating Or Analyzing Materials Using Thermal Means (AREA)
- Image Analysis (AREA)
- Radiation Pyrometers (AREA)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US15/712,490 US10551297B2 (en) | 2017-09-22 | 2017-09-22 | Thermography image processing with neural networks to identify corrosion under insulation (CUI) |
| PCT/US2018/051865 WO2019060490A1 (en) | 2017-09-22 | 2018-09-20 | THERMOGRAPHIC IMAGE PROCESSING USING NEURAL NETWORKS TO IDENTIFY CORROSION UNDER INSULATION (CUI) |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| SG11202002198TA true SG11202002198TA (en) | 2020-04-29 |
Family
ID=63915349
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| SG11202002198TA SG11202002198TA (en) | 2017-09-22 | 2018-09-20 | Thermography image processing with neural networks to identify corrosion under insulation (cui) |
Country Status (8)
| Country | Link |
|---|---|
| US (3) | US10551297B2 (ko) |
| EP (1) | EP3685146B1 (ko) |
| JP (1) | JP6961806B2 (ko) |
| KR (1) | KR102578769B1 (ko) |
| CN (1) | CN111094956B (ko) |
| SA (1) | SA520411530B1 (ko) |
| SG (1) | SG11202002198TA (ko) |
| WO (1) | WO2019060490A1 (ko) |
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| CN110232334A (zh) * | 2019-05-26 | 2019-09-13 | 天津大学 | 一种基于卷积神经网络的钢结构锈蚀识别方法 |
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-
2017
- 2017-09-22 US US15/712,490 patent/US10551297B2/en active Active
-
2018
- 2018-09-20 WO PCT/US2018/051865 patent/WO2019060490A1/en unknown
- 2018-09-20 KR KR1020207007832A patent/KR102578769B1/ko active IP Right Grant
- 2018-09-20 CN CN201880060811.7A patent/CN111094956B/zh active Active
- 2018-09-20 SG SG11202002198TA patent/SG11202002198TA/en unknown
- 2018-09-20 JP JP2020515006A patent/JP6961806B2/ja active Active
- 2018-09-20 EP EP18789727.7A patent/EP3685146B1/en active Active
-
2019
- 2019-12-11 US US16/711,099 patent/US10768094B2/en active Active
-
2020
- 2020-03-13 SA SA520411530A patent/SA520411530B1/ar unknown
- 2020-07-30 US US16/943,195 patent/US10908068B2/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| EP3685146B1 (en) | 2023-02-22 |
| SA520411530B1 (ar) | 2024-05-27 |
| US10908068B2 (en) | 2021-02-02 |
| CN111094956A (zh) | 2020-05-01 |
| US20200355601A1 (en) | 2020-11-12 |
| KR20200060372A (ko) | 2020-05-29 |
| WO2019060490A1 (en) | 2019-03-28 |
| KR102578769B1 (ko) | 2023-09-15 |
| CN111094956B (zh) | 2023-06-02 |
| US20190094124A1 (en) | 2019-03-28 |
| JP6961806B2 (ja) | 2021-11-05 |
| JP2021502543A (ja) | 2021-01-28 |
| EP3685146A1 (en) | 2020-07-29 |
| US10551297B2 (en) | 2020-02-04 |
| US10768094B2 (en) | 2020-09-08 |
| US20200116625A1 (en) | 2020-04-16 |
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