Producing a POD curve with emulated signal response data

Tuomas Koskinen, Iikka Virkkunen, Suvi Papula, Teemu Sarikka, Jonne Haapalainen

    Research output: Contribution to journalArticleScientificpeer-review

    10 Citations (Scopus)


    Ultrasonic testing is an important tool for assessing the structural integrity of pressurised components in nuclear power plants during in-service inspection. Consequently, the reliability of inspection is of high significance. In particular, it is important to determine the largest crack that could conceivably be missed during in-service inspection. This information is utilised in order to choose the most effective method for different situations. Probability of detection (POD) curves are used to quantify the effectiveness of the inspection. However, these POD curves require a lot of data points in order to provide reliable estimates of the lower limit performance. Traditionally, obtaining these curves has been relatively expensive and this is why different simulation tools have been used to reduce costs and the number of physical test-pieces needed. In the current study, a novel method based on limited test-pieces is explored to produce a POD curve from the measured data. The present data contains just three artificial cracks made with thermal fatigue. This is insufficient to produce a POD curve. However, the data was sufficient to evaluate the novel approach and to gain preliminary estimates of the expected POD and the most important influential parameters. In this study, the idea is to emulate the amplitude response from the measured crack in a way that represents an amplitude response from a certain crack size. This amplitude data is converted to a B-scan image from which the inspector will evaluate whether there is a
    crack or not. Then, a POD curve is generated from the achieved hit/miss data.
    Original languageEnglish
    Pages (from-to)42-48
    Number of pages7
    JournalInsight: Non-Destructive Testing and Condition Monitoring
    Issue number1
    Publication statusPublished - 2018
    MoE publication typeA1 Journal article-refereed


    • Ultrasonic inspection
    • POD
    • NDT
    • NDE
    • reliability
    • virtual flaws


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