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E3327/E3327M

Standard Guide for the Qualification and Control of the Assisted Defect Recognition of Digital Radiographic Test Data

active, Most Current
Publication Date: 1 December 2021
Status: active
Page Count: 29
ICS Code (Radiographic films): 37.040.25
ICS Code (IT applications in other fields): 35.240.99
ICS Code (Management of human resources): 03.100.30
ICS Code (Non-destructive testing): 19.100
scope:

Assisted defect recognition (AssistDR) describes a class of computer algorithms that assist a human operator in making a determination about nondestructive test data. This guide uses the term AssistDR to describe those computer assisted evaluation algorithms and associated software. For the purposes of this guide, the usage of the words "defect," "evaluate," "evaluation," etc., in no way implies that the algorithms are dispositioning or otherwise making an unaided final disposition. Depending on the application, AssistDR computer algorithms detect and optionally classify indications of defects, flaws, discontinuities, or other anomalous signals in the acquired images. Software that does make an unaided final disposition is classified as automated defect recognition (AutoDR). While the concepts discussed in this guide are pertinent to AutoDR applications, additional validation tests or controls may be necessary when implementing AutoDR.

This guide establishes the minimum considerations for the radiographical examination of components using AssistDR for non-film radiographic test data. Most of the examples and discussion in this guide are built around two-dimensional test data for simplicity. The principles can be applied to three (volumetric computed tomography, for example) or higher dimensional test data.

The methods and practices described in this guide are intended for the application of AssistDR where image analysis will aid a human operator in the detection and evaluation of indications. The degree to which AssistDR is integrated into the testing and evaluation process will help the user determine the appropriate levels of process qualification and control required. This guide is not intended for applications wishing to employ AutoDR in which there is no human review of the results.

This guide applies to radiographic examination using an X-ray source. Some of the concepts presented may be appropriate for other nondestructive test methods when approved by the AssistDR system purchaser.

Units-The values stated in either SI units or inch-pound units are to be regarded separately as standard. The values stated in each AssistDR system may not be exact equivalents; therefore, each AssistDR system should be used independently of the other.

This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety, health, and environmental practices and determine the applicability of regulatory limitations prior to use.

This international standard was developed in accordance with internationally recognized principles on standardization established in the Decision on Principles for the Development of International Standards, Guides and Recommendations issued by the World Trade Organization Technical Barriers to Trade (TBT) Committee.

Document History

E3327/E3327M
December 1, 2021
Standard Guide for the Qualification and Control of the Assisted Defect Recognition of Digital Radiographic Test Data
Assisted defect recognition (AssistDR) describes a class of computer algorithms that assist a human operator in making a determination about nondestructive test data. This guide uses the term...

References

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