Analysis of phased array corrosion mapping data using Probabilistic Detection (POD) method

Phased Array Corrosion Mapping (PACM) has emerged as a powerful tool for detecting localized corrosion in industrial settings, particularly in the petrochemical industry. However, its application has been limited to plant operating temperatures within the recommended range for on-stream ultrasonic t...

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Main Authors: Tai, Jan Lean, Sultan, Mohamed Thariq Hameed, Shahar, Farah Syazwani
Format: Article
Language:English
Published: Universiti Putra Malaysia Press 2025
Online Access:http://psasir.upm.edu.my/id/eprint/120583/
http://psasir.upm.edu.my/id/eprint/120583/1/120583.pdf
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author Tai, Jan Lean
Sultan, Mohamed Thariq Hameed
Shahar, Farah Syazwani
author_facet Tai, Jan Lean
Sultan, Mohamed Thariq Hameed
Shahar, Farah Syazwani
author_sort Tai, Jan Lean
building UPM Institutional Repository
collection Online Access
description Phased Array Corrosion Mapping (PACM) has emerged as a powerful tool for detecting localized corrosion in industrial settings, particularly in the petrochemical industry. However, its application has been limited to plant operating temperatures within the recommended range for on-stream ultrasonic testing. This study addresses this gap by conducting a comprehensive Probability of Detection (POD) analysis using the MH1823 POD software, following the guidelines of MIL-HDBK-1823A (Department of Defense Handbook, 2009). The binary hit/miss method was employed to evaluate the accuracy of PACM on carbon steel (CS) and stainless steel (SS 304 and SS 316) surfaces at elevated temperatures up to 250 °C. Experimental results demonstrated successful detection of all flat-bottom-hole (FBH) indications, with deviations categorized as “miss” when exceeding 10% of the designed dimension. The POD curves revealed robust detection capabilities across various temperatures, with distinct clusters exhibiting different a50, a90, and a90/95 values. These findings underscore the reliability and efficacy of PACM in high-temperature applications, offering a significant advancement in non-destructive testing (NDT) for the petrochemical industry. The study highlights the potential of PACM to enhance turnaround maintenance (TAM) by enabling accurate on-stream inspections, thereby reducing downtime and increasing operational efficiency. Future research should explore the “â versus a” method to further enhance the accuracy and understanding of PACM in NDT applications.
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spelling upm-1205832025-10-06T07:02:48Z http://psasir.upm.edu.my/id/eprint/120583/ Analysis of phased array corrosion mapping data using Probabilistic Detection (POD) method Tai, Jan Lean Sultan, Mohamed Thariq Hameed Shahar, Farah Syazwani Phased Array Corrosion Mapping (PACM) has emerged as a powerful tool for detecting localized corrosion in industrial settings, particularly in the petrochemical industry. However, its application has been limited to plant operating temperatures within the recommended range for on-stream ultrasonic testing. This study addresses this gap by conducting a comprehensive Probability of Detection (POD) analysis using the MH1823 POD software, following the guidelines of MIL-HDBK-1823A (Department of Defense Handbook, 2009). The binary hit/miss method was employed to evaluate the accuracy of PACM on carbon steel (CS) and stainless steel (SS 304 and SS 316) surfaces at elevated temperatures up to 250 °C. Experimental results demonstrated successful detection of all flat-bottom-hole (FBH) indications, with deviations categorized as “miss” when exceeding 10% of the designed dimension. The POD curves revealed robust detection capabilities across various temperatures, with distinct clusters exhibiting different a50, a90, and a90/95 values. These findings underscore the reliability and efficacy of PACM in high-temperature applications, offering a significant advancement in non-destructive testing (NDT) for the petrochemical industry. The study highlights the potential of PACM to enhance turnaround maintenance (TAM) by enabling accurate on-stream inspections, thereby reducing downtime and increasing operational efficiency. Future research should explore the “â versus a” method to further enhance the accuracy and understanding of PACM in NDT applications. Universiti Putra Malaysia Press 2025 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/120583/1/120583.pdf Tai, Jan Lean and Sultan, Mohamed Thariq Hameed and Shahar, Farah Syazwani (2025) Analysis of phased array corrosion mapping data using Probabilistic Detection (POD) method. Pertanika Journal of Science and Technology, 33 (4). pp. 1887-1906. ISSN 0128-7680; eISSN: 2231-8526 http://www.pertanika.upm.edu.my/pjst/browse/prepress-issue?article=JST-5706-2024 10.47836/pjst.33.4.10
spellingShingle Tai, Jan Lean
Sultan, Mohamed Thariq Hameed
Shahar, Farah Syazwani
Analysis of phased array corrosion mapping data using Probabilistic Detection (POD) method
title Analysis of phased array corrosion mapping data using Probabilistic Detection (POD) method
title_full Analysis of phased array corrosion mapping data using Probabilistic Detection (POD) method
title_fullStr Analysis of phased array corrosion mapping data using Probabilistic Detection (POD) method
title_full_unstemmed Analysis of phased array corrosion mapping data using Probabilistic Detection (POD) method
title_short Analysis of phased array corrosion mapping data using Probabilistic Detection (POD) method
title_sort analysis of phased array corrosion mapping data using probabilistic detection (pod) method
url http://psasir.upm.edu.my/id/eprint/120583/
http://psasir.upm.edu.my/id/eprint/120583/
http://psasir.upm.edu.my/id/eprint/120583/
http://psasir.upm.edu.my/id/eprint/120583/1/120583.pdf