Invention Grant
- Patent Title: Metal loss determinations based on thermography machine learning approach for insulated structures
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Application No.: US16513168Application Date: 2019-07-16
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Publication No.: US11112349B2Publication Date: 2021-09-07
- Inventor: Ayman Amer , Ali Al Shehri , Vincent Cunningham
- Applicant: Saudi Arabian Oil Company
- Applicant Address: SA Dhahran
- Assignee: Saudi Arabian Oil Company
- Current Assignee: Saudi Arabian Oil Company
- Current Assignee Address: SA Dhahran
- Agency: Leason Ellis LLP
- Main IPC: G01N17/04
- IPC: G01N17/04 ; G01N17/00 ; G06K9/62 ; G06N3/04

Abstract:
A method for identifying metal wall loss in an insulated metal structure is provided. The method includes receiving thermograms of the outer surface of the structure using an infrared camera, applying filters to the thermograms using a first machine learning (ML) system, determining wall loss classifications based on outputs from the filters, validating the wall loss classifications by inspecting the structure, and training the first ML system using the validation results. Outputs of the first ML system and additional structural and environmental data are input to a second ML system that incorporates information from earlier states into current states. The second ML system is trained to estimate wall loss according to changes in the outputs of the first ML system and the additional data over time until a wall loss classification accuracy is reached. The metal wall loss is thereafter estimated using the first and second ML systems in coordination.
Public/Granted literature
- US20210018426A1 METAL LOSS DETERMINATIONS BASED ON THERMOGRAPHY MACHINE LEARNING APPROACH FOR INSULATED STRUCTURES Public/Granted day:2021-01-21
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