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<p>Metal pipelines, which are critical for transporting oil, gas, water and chemicals, are exposed to large safety and economic risks due to corrosion-induced mass loss (CIML). Conventional Electromechanical Impedance (EMI) techniques, which rely on Root Mean Square Deviation (RMSD) from raw conductance, struggle with non-proportional damage trends due to their noise sensitivity. Conventional Electromechanical Impedance (EMI) techniques, which offer only qualitative damage measures and rely solely on statistical indices such as Root Mean Square Deviation (RMSD) from raw impedance. These damage indices are not highly correlated with the damage and often show non-proportional damage trends. This study introduces a novel method integrating wavelet transform (WT) with EMI to quantify CIML, addressing these limitations. Conductance signatures from PZT patches on mild steel specimens were captured at corrosion levels ranging from 2.5% to 40% via an accelerated corrosion test. Discrete Wavelet Transform (DWT) and Wavelet Packet Transform (WPT) of the conductance signature in the 150–250&#xa0;kHz range show energy degradation. A model is developed based on the RMSD derived from the energy degradation and its correlation with corrosion mass loss up to a 30% corrosion level. RMSD from DWT and WPT energies showed enhanced sensitivity and consistency (R² &gt;0.95 for WPT) versus raw conductance (R² ∼ 0.84–0.98). The developed model was extrapolated to predict corrosion at 35% and 40%, achieving less than10% error, compared with greater than 35% error for raw EMI. This real-time, non-intrusive approach enhances buried pipeline monitoring, potentially reducing maintenance costs by 15–35%. The proposed novel approach can be applied to real-time, nondestructive (NDT) corrosion monitoring of pipelines, which can reduce maintenance costs.</p>

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Quantifying corrosion-induced mass loss in pipelines using wavelet-based EMI

  • 期刊论文

  • 发表日期：

    2025年11月18日

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  • Amit Thoriya,
  • Husain Rangwala,
  • Tarak Vora,
  • Mazhar Dhankot,
  • Bharat J. Shah

摘要

Metal pipelines, which are critical for transporting oil, gas, water and chemicals, are exposed to large safety and economic risks due to corrosion-induced mass loss (CIML). Conventional Electromechanical Impedance (EMI) techniques, which rely on Root Mean Square Deviation (RMSD) from raw conductance, struggle with non-proportional damage trends due to their noise sensitivity. Conventional Electromechanical Impedance (EMI) techniques, which offer only qualitative damage measures and rely solely on statistical indices such as Root Mean Square Deviation (RMSD) from raw impedance. These damage indices are not highly correlated with the damage and often show non-proportional damage trends. This study introduces a novel method integrating wavelet transform (WT) with EMI to quantify CIML, addressing these limitations. Conductance signatures from PZT patches on mild steel specimens were captured at corrosion levels ranging from 2.5% to 40% via an accelerated corrosion test. Discrete Wavelet Transform (DWT) and Wavelet Packet Transform (WPT) of the conductance signature in the 150–250 kHz range show energy degradation. A model is developed based on the RMSD derived from the energy degradation and its correlation with corrosion mass loss up to a 30% corrosion level. RMSD from DWT and WPT energies showed enhanced sensitivity and consistency (R² >0.95 for WPT) versus raw conductance (R² ∼ 0.84–0.98). The developed model was extrapolated to predict corrosion at 35% and 40%, achieving less than10% error, compared with greater than 35% error for raw EMI. This real-time, non-intrusive approach enhances buried pipeline monitoring, potentially reducing maintenance costs by 15–35%. The proposed novel approach can be applied to real-time, nondestructive (NDT) corrosion monitoring of pipelines, which can reduce maintenance costs.