Advanced Condition Assessment and Pipe Failure Prediction ProjectAdvanced Condition Assessment and Pipe Failure Prediction Project
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Bulletin No. 8 Progress on Activity 2 – Multiple defect interpretation for MFL technology: Gaussian processes approach

The Magnetic Flux Leakage (MFL) concept has been used in non-destructive testing for more than three decades. However, due to the presence of large parametric variations and difficulty in accurate physical modelling, data driven machine learning techniques have been in the forefront of research focus in recent years. Most of the work is still limited to MFL based interpretation of isolated defects. As an initial study, here we propose to interpret two defects scenarios based on magnetic flux leakage. The approach is validated through simulations and experiments.

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Information about Pipes

In August 2011 international water research organisations, Australian water utilities and three Australian universities came together through a collaborative research agreement, and committed overall funding of $16 million (including $4 million cash) over five years to undertake this research through the Advanced Condition Assessment and Pipe Failure Prediction Project.

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Recent posts

  • The final meeting of the Committee of Management

    December 6, 2016

  • Final Technical Assessment Committee meeting

    November 24, 2016

  • Critical Pipes Project wins B/HERT award

    November 16, 2016

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