An evaluation of human factors research for ultrasonic inservice inspection

Pond, Daniel J.; Donohoo, D.T.; Harris, Robert V.

doi:10.2172/582236

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…Conclusions were that no single performance-shaping factor is responsible for the wide performance variations observed. Pond et al (1998) reviewed human factors research for consideration of upgrading the American Society of Mechanical Engineers (ASME) Boiler and Pressure Vessel Code Section XI requirements or the techniques in ASME Section V. The review included studies of the effects of heat, audible noise, task duration, fatigue, and social environment (co-workers, management, and organizational policies). The review concluded that audible noise had minimal impact on human performance and that the social environment had significant influence on inspector performance.…”

Section: Summary Human Factors Literaturementioning

confidence: 99%

Review of Literature for Model Assisted Probability of Detection

Meyer

Crawford

Lareau

et al. 2014

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This report documents a literature survey of so-called "Model Assisted Probability of Detection" (MAPOD) approaches that may be useful in determining the probability of detection (POD), a metric for quantifying the performance of nondestructive evaluation (NDE) methods. The objective of this report is to summarize MAPOD concepts that have been proposed to date in order to assess specific approaches that may be appropriate for application to improve estimates of POD for field NDE of nuclear power plant components. The limitations of laboratory-based studies to replicate actual field conditions are well-recognized and not limited to the nuclear power industry. Probability of detection estimates based on laboratory studies generally provide ideal environments for performing examinations as compared field settings, which typically will result in non-conservative estimates of POD for field applications. As a consequence of this effort, the authors conclude that use of MAPOD concepts to improve estimates of field NDE performance may require access to certain field data, or alternatively, may require significant laboratory studies to assess the influence of human and environmental shaping factors. If the necessary field data cannot be made available, it is proposed that laboratory efforts will have greater chance of success by focusing on a specific examination technique and component application. The authors also find that MAPOD concepts may have a more immediate contribution to the nuclear power industry through their use in extending personnel and procedure qualifications beyond established limits. Finally, another basis was identified that may be used to adjust POD curves generated in previous reliability studies and performance demonstrations. Many of the previous studies calculated POD as the average of performance data which may be inappropriate for many applications, as the calculation may be nonconservative. A more conservative approach to estimating POD would include basing the calculation on a lower statistical quantile of the data set. v

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Section: Summary Human Factors Literaturementioning

confidence: 99%

Review of Literature for Model Assisted Probability of Detection

Meyer

Crawford

Lareau

et al. 2014

View full text Add to dashboard Cite

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Human Factors Perspective on the Reliability of NDT in Nuclear Applications

Bertovic¹,

Fahlbruch²,

Mueller³

2013

Materials Testing

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A series of research studies have been conducted over the course of five years venturing into the fields of in-service inspections (ISI) in nuclear power plants (NPPs) and inspection of manufactured components to be used for permanent nuclear waste disposal. This paper will provide an overview of four research studies, present selected experimental results and suggest ways for optimization of the NDT process, procedures, and training. The experimental results have shown that time pressure and mental workload negatively influence the quality of the manual inspection performance. Noticeable were influences of the organization of the working schedule, communication, procedures, supervision, and demonstration task. Customized Failure Mode and Effects Analysis (FMEA) was used to identify potential human risks, arising during acquisition and evaluation of NDT data. Several preventive measures were suggested and furthermore discussed, with respect to problems that could arise from their application. Experimental results show that implementing human redundancy in critical tasks, such as defect identification, as well as using an automated aid (software) to help operators in decision making about the existence and size of defects, could lead to other kinds of problems, namely social loafing and automation bias that might affect the reliability of NDT in an undesired manner. Shifting focus from the operator, as the main source of errors, to the organization, as the underlying source, is a recommended approach to ensure safety.

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An evaluation of human factors research for ultrasonic inservice inspection

Cited by 2 publications

References 6 publications

Review of Literature for Model Assisted Probability of Detection

Review of Literature for Model Assisted Probability of Detection

Human Factors Perspective on the Reliability of NDT in Nuclear Applications

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