Advanced Condition Assessment and Pipe Failure Prediction ProjectAdvanced Condition Assessment and Pipe Failure Prediction Project
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Fact Sheet No.9 – Sensor modelling for BEM Technology: Gaussian Processes Approach

Sensor modelling for BEM Technology: Gaussian Processes Approach

Overview

Broadband Electro-Magnetic (BEM) concepts have been deployed in non-destructive testing by Rock Solid Group (RSG) for almost two decades. Due to the presence of large parametric variations and difficulty in accurate physical modelling of the sensor to pipe interaction, data driven machine learning techniques have been proposed and are being investigated. The approach is validated through simulations and experiments.

Click here to download the Fact Sheet

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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