Quantile POD for hit-miss data

Koh, Yew-Meng; Meeker, William Q.

doi:10.1063/1.4865072

Cited by 1 publication

(1 citation statement)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Tolerance bounds or quantiles provide insight into both of these questions, and this author suggests that they should be reported with POD estimates for this reason. Other authors (for example, [8]) have proposed using quantiles and/or tolerance bounds to estimate the uncertainty associated with the POD estimate.…”

Section: Figurementioning

confidence: 99%

Advanced reliability methods – A review

Forsyth¹

2016

AIP Conference Proceedings

View full text Add to dashboard Cite

Abstract. There are a number of challenges to the current practices for Probability of Detection (POD) assessment. Some Nondestructive Testing (NDT) methods, especially those that are image-based, may not provide a simple relationship between a scalar NDT response and a damage size. Some damage types are not easily characterized by a single scalar metric. Other sensing paradigms, such as structural health monitoring, could theoretically replace NDT but require a POD estimate. And the cost of performing large empirical studies to estimate POD can be prohibitive. The response of the research community has been to develop new methods that can be used to generate the same information, POD, in a form that can be used by engineering designers. This paper will highlight approaches to image-based data and complex defects, Model Assisted POD estimation, and Bayesian methods for combining information. This paper will also review the relationship of the POD estimate, confidence bounds, tolerance bounds, and risk assessment.

show abstract

Section: Figurementioning

confidence: 99%

Advanced reliability methods – A review

Forsyth¹

2016

AIP Conference Proceedings

View full text Add to dashboard Cite

show abstract

Quantile POD for hit-miss data

Cited by 1 publication

References 1 publication

Advanced reliability methods – A review

Advanced reliability methods – A review

Contact Info

Product

Resources

About