Automated pressure tube defect analysis

Panagiotis Zacharis; Graeme West; Christopher Wallace; Gordon Dobie; Anthony Gachagan

Automated pressure tube defect analysis

Panagiotis Zacharis, Graeme West, Christopher Wallace, Gordon Dobie, Anthony Gachagan

Research output: Contribution to conference › Poster

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Abstract

- The Automated Data Analysis of Pressure Tubes (ADAPT) software has been developed to provide decision support to analysts interpreting ultrasonic inspection data
- The knowledge based system incorporates human expertise and has undergone testing at Strathclyde and at Bruce Power
- Data-driven techniques enable the automation of more subjective tasks
- The software identifies features and calculates parameters of the data, mirroring the existing analysis process to provide decision support
- Recent testing has demonstrated performance comparable to that of a human analyst in a fraction of the time currently required
- Side-by-side sessions with analysts highlighted key areas for improvement related to “edge cases” and large-scale analysis

Original language	English
Number of pages	1
Publication status	Published - 9 May 2019
Event	2019 Innovation Showcase: Nuclear Asset Management and Industrial Informatics - Toronto, Canada Duration: 9 May 2019 → 10 May 2019 http://www.nuclearinnovationinstitute.com/events/innovation-showcase/

Conference

Conference	2019 Innovation Showcase: Nuclear Asset Management and Industrial Informatics
Country/Territory	Canada
City	Toronto
Period	9/05/19 → 10/05/19
Internet address	http://www.nuclearinnovationinstitute.com/events/innovation-showcase/

Keywords

ADAPT software
data-driven techniques
ultrasonic inspection data

Access to Document

Zacharis-etal-2019-Automated-pressure-tube-defect-analysisAccepted author manuscript, 1.63 MB

ADAPT: ANRC 01 Ext Automated Classification and Sizing of Pressure Tube Defects Phase IV - GATED - YEAR 2
West, G., Dobie, G. & Gachagan, A.
Devonport Royal Dockyard Ltd (Babcock), EDF Energy Nuclear Generation Limited, Bruce Power L.P.
1/10/17 → 30/09/19
Project: Research

Cite this

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title = "Automated pressure tube defect analysis",

abstract = "- The Automated Data Analysis of Pressure Tubes (ADAPT) software has been developed to provide decision support to analysts interpreting ultrasonic inspection data - The knowledge based system incorporates human expertise and has undergone testing at Strathclyde and at Bruce Power - Data-driven techniques enable the automation of more subjective tasks - The software identifies features and calculates parameters of the data, mirroring the existing analysis process to provide decision support - Recent testing has demonstrated performance comparable to that of a human analyst in a fraction of the time currently required- Side-by-side sessions with analysts highlighted key areas for improvement related to “edge cases” and large-scale analysis",

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author = "Panagiotis Zacharis and Graeme West and Christopher Wallace and Gordon Dobie and Anthony Gachagan",

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language = "English",

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TY - CONF

T1 - Automated pressure tube defect analysis

AU - Zacharis, Panagiotis

AU - West, Graeme

AU - Wallace, Christopher

AU - Dobie, Gordon

AU - Gachagan, Anthony

PY - 2019/5/9

Y1 - 2019/5/9

N2 - - The Automated Data Analysis of Pressure Tubes (ADAPT) software has been developed to provide decision support to analysts interpreting ultrasonic inspection data - The knowledge based system incorporates human expertise and has undergone testing at Strathclyde and at Bruce Power - Data-driven techniques enable the automation of more subjective tasks - The software identifies features and calculates parameters of the data, mirroring the existing analysis process to provide decision support - Recent testing has demonstrated performance comparable to that of a human analyst in a fraction of the time currently required- Side-by-side sessions with analysts highlighted key areas for improvement related to “edge cases” and large-scale analysis

AB - - The Automated Data Analysis of Pressure Tubes (ADAPT) software has been developed to provide decision support to analysts interpreting ultrasonic inspection data - The knowledge based system incorporates human expertise and has undergone testing at Strathclyde and at Bruce Power - Data-driven techniques enable the automation of more subjective tasks - The software identifies features and calculates parameters of the data, mirroring the existing analysis process to provide decision support - Recent testing has demonstrated performance comparable to that of a human analyst in a fraction of the time currently required- Side-by-side sessions with analysts highlighted key areas for improvement related to “edge cases” and large-scale analysis

KW - ADAPT software

KW - data-driven techniques

KW - ultrasonic inspection data

M3 - Poster

T2 - 2019 Innovation Showcase: Nuclear Asset Management and Industrial Informatics

Y2 - 9 May 2019 through 10 May 2019

ER -

Automated pressure tube defect analysis

Abstract

Conference

Keywords

Access to Document

Fingerprint

Projects

ADAPT: ANRC 01 Ext Automated Classification and Sizing of Pressure Tube Defects Phase IV - GATED - YEAR 2

Cite this